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        <title>Arcadia Science Publications</title>
        <link>https://thestacks.org</link>
        <description>Latest publications from Arcadia Science</description>

        <item>
            <title>Coherent Raman imaging of live, unfixed _Saccharomyces cerevisiae_ and mutants _aah1∆ and rad6∆_</title>
            <link>https://thestacks.org/publications/dataset-raman-imaging-cerevisiae-mutants</link>
            <description>We acquired single-cell coherent Raman microscopy data (SRS and CARS) from wild-type budding yeast and two mutants. Our aim was to collect spatially resolved biochemical data on living yeast cells. We’re sharing the data and code for others to visualize and explore it!</description>
            <pubDate>2026-02-24 00:33:39</pubDate>
            <category>feedback requested</category>
            <category>resource</category>
            <numComments>2</numComments>
        </item>

        <item>
            <title>Morphological transformation of _Chlamydomonas smithii_ grown in Marine Broth medium</title>
            <link>https://thestacks.org/publications/observation-marine-broth-chlamy</link>
            <description>Marine Broth induces extreme morphological transformation in _C. smithii_: Cells shift from typical ellipsoid shape to amorphous forms with thin wisp-like appendages containing mitochondria, revealing unexpected cellular plasticity.</description>
            <pubDate>2026-02-19 21:48:20</pubDate>
            <category>feedback requested</category>
            <category>observation</category>
            <numComments>2</numComments>
        </item>

        <item>
            <title>A tractability atlas for experimental organism selection</title>
            <link>https://thestacks.org/publications/resource-tractability-atlas</link>
            <description>We’ve mapped experimental tractability for ~15,000 diverse organisms. By aggregating data on community activity, infrastructure, tooling, throughput, and logistics, our interactive atlas helps researchers navigate trade-offs when deciding which organisms to use for their work.</description>
            <pubDate>2026-02-12 23:18:05</pubDate>
            <category>feedback requested</category>
            <category>resource</category>
            <numComments>7</numComments>
        </item>

        <item>
            <title>Biology needs to become prospective</title>
            <link>https://thestacks.org/publications/idea-prospective-biology</link>
            <description>Since biological data are often non-independent, more data doesn&apos;t always mean more insight. We argue that a prospective approach is needed to uncover the deepest principles of life.</description>
            <pubDate>2026-02-05 20:26:44</pubDate>
            <category>feedback requested</category>
            <category>idea</category>
            <numComments>6</numComments>
        </item>

        <item>
            <title>Strategizing the search for bio-utility: A framework for evolution-integrated _in silico_ bioprospecting</title>
            <link>https://thestacks.org/publications/perspective-search-strategy-bio-utility</link>
            <description>To accurately and efficiently identify instances of useful biological variation, we must establish an evolution-integrated bioprospecting framework. This will enable us to better interpret biological datasets and direct future sampling efforts to solve societal challenges.</description>
            <pubDate>2026-02-05 20:25:13</pubDate>
            <category>feedback requested</category>
            <category>perspective</category>
            <numComments>1</numComments>
        </item>

        <item>
            <title>MSA-based pLMs encode evolutionary distance but don’t reliably exploit it</title>
            <link>https://thestacks.org/publications/result-phylo-analysis-msa-pairformer</link>
            <description>​​We characterize how MSA Pairformer encodes phylogenetic relationships. Sequence weights correlate with evolutionary distance, with distinct layers specializing as phylogenetic filters. Yet uniform averaging often outperforms learned weights for contact prediction.</description>
            <pubDate>2026-01-30 18:49:31</pubDate>
            <category>feedback requested</category>
            <category>result</category>
            <numComments>2</numComments>
        </item>

        <item>
            <title>Equivalent linear mappings of deep networks are a promising path for biology</title>
            <link>https://thestacks.org/publications/perspective-linear-mappings-deep-networks</link>
            <description>Deep networks make accurate predictions, but their nonlinearity makes them a black box, hiding what they have learned. Here, we look inside the black box and analyze the exact relationships they learn for UMAP embeddings and epistasis in a genotype–phenotype dataset.</description>
            <pubDate>2025-10-29 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Perspective</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>A quantitative-genetic decomposition of a neural network</title>
            <link>https://thestacks.org/publications/method-qg-nn-decomposition</link>
            <description>We tested equivalent linear mapping (ELM) on a neural network trained to predict phenotypes from genotypes in simulated data. We show that ELM successfully recapitulates additive and epistatic effects learned by the model, even in data with substantial environmental noise.</description>
            <pubDate>2025-10-29 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Method</category>
            <numComments>5</numComments>
        </item>

        <item>
            <title>From black box to glass box\: Making UMAP interpretable with exact feature contributions</title>
            <link>https://thestacks.org/publications/method-glass-box-umap</link>
            <description>We transform UMAP from a black box into a glass box. By learning the embedding function with a certain type of deep network, we can compute equivalent linear mappings of the input features that exactly reconstruct each embedding, revealing the heretofore hidden logic of UMAP.</description>
            <pubDate>2025-10-29 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Method</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>A free, open-access library of high-quality organism illustrations for science communication</title>
            <link>https://thestacks.org/publications/resource-organism-illustration-library</link>
            <description>We create vector graphics of model organisms and emerging biological research organisms to enhance our publications. We’re sharing these editable graphics under a CC0 license for other scientists to use in figures, slides, teaching materials, or other outputs.</description>
            <pubDate>2025-09-24 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>28</numComments>
        </item>

        <item>
            <title>How do we balance labor and yield in high-throughput protein expression?</title>
            <link>https://thestacks.org/publications/open-question-ht-protein-expression-labor-yield</link>
            <description>We need to test hundreds of *in silico* protein variant designs in the lab. We have automated purification strategies, but expressing enough protein to purify is low-throughput and rate-limiting. Can we crank up expression without big, unwieldy culture flasks and intensive effort?</description>
            <pubDate>2025-09-21 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Open question</category>
            <category>Revised after community feedback</category>
            <numComments>71</numComments>
        </item>

        <item>
            <title>Efficient GFP variant design with a simple neural network ensemble</title>
            <link>https://thestacks.org/publications/result-gfp-variant-design-nn</link>
            <description>We designed novel GFPs using a neural network ensemble. We quickly developed an experimental validation procedure in parallel, confirming that several candidates were functional. This rapid loop of *in silico* generation and lab validation may accelerate protein engineering.</description>
            <pubDate>2025-09-10 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Iced</category>
            <category>Result</category>
            <numComments>22</numComments>
        </item>

        <item>
            <title>AutoOpenRaman\: Low-cost, automated Raman spectroscopy</title>
            <link>https://thestacks.org/publications/resource-autoopenraman</link>
            <description>We developed AutoOpenRaman, an automated, inexpensive microscope for Raman spectroscopy. We recapitulated many features of expensive commercial Raman spectroscopy systems using economical hardware and open-source software.</description>
            <pubDate>2025-09-08 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Mapping the spectrum of archaeal protein sequence–structure relationships</title>
            <link>https://thestacks.org/publications/result-sequence-structure-asgard-archaea-proteins</link>
            <description>We analyzed 4,064 Asgard protein families, seeking generalizable rules governing sequence–structure relationships. We found a subset of protein families with structural conservation despite phylogenetic and sequence diversity, but no global constraints across the proteome.</description>
            <pubDate>2025-08-14 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Iced</category>
            <category>Result</category>
            <numComments>11</numComments>
        </item>

        <item>
            <title>Automating identification and quantification of mouse scratch behavior in video recordings</title>
            <link>https://thestacks.org/publications/resource-automating-mouse-scratch-behavior</link>
            <description>Itch is a key symptom of many diseases. Drug development for these diseases requires assessing itch to determine if potential drugs work. We developed a workflow to rapidly quantify scratching, a measure of itch, in a pre-clinical animal model to speed drug discovery.</description>
            <pubDate>2025-08-14 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>19</numComments>
        </item>

        <item>
            <title>Lessons from our approach to bioprospecting in ticks</title>
            <link>https://thestacks.org/publications/perspective-approach-bioprospecting-ticks</link>
            <description>Ticks produce a trove of bioactive molecules. We built a discovery pipeline to find new therapeutics in ticks, but were stymied by compounding challenges in our approach and decided to ice the project.</description>
            <pubDate>2025-08-14 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Iced</category>
            <category>Perspective</category>
            <numComments>5</numComments>
        </item>

        <item>
            <title>Assembling and annotating an Asgard archaea and giant virus dataset of over 840,000 proteins</title>
            <link>https://thestacks.org/publications/dataset-archaea-giant-virus-protein-annotation</link>
            <description>We assembled a comprehensive dataset of proteins from Asgard archaea and giant virus genome assemblies. This dataset lets us explore protein sequence and structure relationships more broadly across the tree of life to better understand protein structure and function.</description>
            <pubDate>2025-08-11 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Feedback requested</category>
            <numComments>12</numComments>
        </item>

        <item>
            <title>G–P Atlas\: A neural network framework for mapping genotypes to many phenotypes</title>
            <link>https://thestacks.org/publications/result-g-p-atlas</link>
            <description>G–P Atlas extends genetic analysis with neural networks that model multiple traits simultaneously. By capturing complex interactions between genes and phenotypes, our framework predicts biological outcomes more accurately and reveals genetic influences that traditional methods miss.</description>
            <pubDate>2025-08-07 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>16</numComments>
        </item>

        <item>
            <title>Do protein language models understand evolution? Mixed evidence from ancestral sequences and ESM2</title>
            <link>https://thestacks.org/publications/result-ancestral-sequences-protein-language-models</link>
            <description>Protein language models are trained on evolutionarily related sequences, yet the extent to which they capture the underlying evolutionary relationships remains unclear. We explore this question using reconstructed ancestral protein sequences and the ESM2 protein language model.</description>
            <pubDate>2025-07-29 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Modeling human monogenic diseases using the choanoflagellate *Salpingoeca rosetta*</title>
            <link>https://thestacks.org/publications/resource-modeling-human-monogenic-diseases-salpingoeca-rosetta</link>
            <description>We applied a decision-making framework for identifying tractable genes from our organism selection dataset for pilot experiments in the choanoflagellate *Salpingoeca rosetta*.</description>
            <pubDate>2025-06-22 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Modeling human monogenic diseases using the tunicate *Ciona intestinalis*</title>
            <link>https://thestacks.org/publications/resource-modeling-human-monogenic-diseases-ciona-intestinalis</link>
            <description>We applied a decision-making framework for identifying tractable genes from our organism selection dataset for pilot experiments in the tunicate *Ciona intestinalis*.</description>
            <pubDate>2025-06-22 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>A framework for modeling human monogenic diseases by deploying organism selection</title>
            <link>https://thestacks.org/publications/resource-modeling-human-monogenic-diseases</link>
            <description>We designed a decision-making framework to find tractable genes from our organism selection dataset for pilot experiments. We focused on genes in two potential models of human monogenic disease, the choanoflagellate *Salpingoeca rosetta* and the tunicate *Ciona intestinalis*.</description>
            <pubDate>2025-06-22 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>15</numComments>
        </item>

        <item>
            <title>Graph neural networks\: A unifying predictive model architecture for evolutionary applications</title>
            <link>https://thestacks.org/publications/perspective-graph-neural-networks-for-evolution</link>
            <description>The transition from explanatory to predictive models in evolutionary biology is a significant and challenging task. We propose that graph representations and graph neural networks may play a crucial role in this transition.</description>
            <pubDate>2025-06-17 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Perspective</category>
            <numComments>16</numComments>
        </item>

        <item>
            <title>Phylogenies and biological foundation models</title>
            <link>https://thestacks.org/publications/idea-phylogenies-bfms</link>
            <description>Biological foundation models are, at their core, evolutionary comparisons on massive scales. As with all comparative studies, evolutionary nonindependence determines their power. We chart how this affects biological AI and propose practical routes to set the field on firmer ground.</description>
            <pubDate>2025-06-16 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Idea</category>
            <numComments>12</numComments>
        </item>

        <item>
            <title>Epistasis and deep learning in quantitative genetics</title>
            <link>https://thestacks.org/publications/result-gp-deep-learning-scaling</link>
            <description>We explore when deep learning (DL) outperforms linear models in predicting complex phenotypes. We show that DL requires at least 20% as many samples as possible epistatic interactions, and benefits from marker feature selection and multi-task learning on correlated phenotypes.</description>
            <pubDate>2025-06-15 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>*Chlamydomonas cpc1-1* mutant exhibits unexpected growth phenotypes</title>
            <link>https://thestacks.org/publications/observation-chlamy-cpc1-growth</link>
            <description>Comparative analysis of *Chlamydomonas* strains revealed that a *cpc1-1* mutant has three unexpected growth phenotypes across different media types, suggesting possible genetic background contributions beyond characterized mutations.</description>
            <pubDate>2025-05-21 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Observation</category>
            <numComments>13</numComments>
        </item>

        <item>
            <title>Predicting peptides from tick salivary glands that suppress host detection</title>
            <link>https://thestacks.org/publications/result-predicting-detection-suppression-tick-peptides</link>
            <description>We predicted tick salivary gland peptides that may help the tick evade host detection while feeding. Using phylogenetics and peptide prediction, we identified 12 candidates. However, testing the trait in the lab proved challenging, so we aren’t continuing the project.</description>
            <pubDate>2025-05-20 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>18</numComments>
        </item>

        <item>
            <title>A method for computational discovery of viral structural mimics</title>
            <link>https://thestacks.org/publications/method-structural-mimicry</link>
            <description>Some parasites use mimics of host proteins to manipulate host pathways. We’ve developed a mimicry detection pipeline and benchmarked it using well-studied viral mimics. The pipeline successfully recovers known mimics and is ready for deployment at scale.</description>
            <pubDate>2025-05-14 18:30:00</pubDate>
            <category>Iced</category>
            <category>Method</category>
            <category>Not actively updating</category>
            <numComments>11</numComments>
        </item>

        <item>
            <title>How confident should we be in potential targets of tick protease inhibitors predicted by AlphaFold-Multimer?</title>
            <link>https://thestacks.org/publications/open-question-protease-inhibitor-target-prediction</link>
            <description>We want to predict the targets of tick effectors to identify new therapeutic targets for skin diseases. We ran a case study using AlphaFold-Multimer to predict the targets of tick protease inhibitors, but we aren&apos;t sold on our method. What other approaches should we consider?</description>
            <pubDate>2025-05-01 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Open question</category>
            <category>Result</category>
            <numComments>9</numComments>
        </item>

        <item>
            <title>Cross-trait learning with a canonical transformer tops custom attention in genotype–phenotype mapping</title>
            <link>https://thestacks.org/publications/observation-geno-pheno-attention</link>
            <description>We added standard transformer components, omitted by Rijal et al. (2025) in their attention-based genotype–phenotype mapping. We found that this addition substantially boosts predictive accuracy on their yeast dataset.</description>
            <pubDate>2025-05-01 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Observation</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>Compound 48/80 is toxic in HMC1.2 and RBL-2H3 cells</title>
            <link>https://thestacks.org/publications/result-48-80-toxicity</link>
            <description>We found that compound 48/80, an MRGPRX2 agonist and commonly used *in vitro* mast cell activator, is toxic in HMC1.2 (human mast cells) and RBL-2H3 (rat basophils). Researchers should use caution and incorporate a viability test when performing assays in these cell lines.</description>
            <pubDate>2025-03-16 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Comparison of spontaneous Raman spectrometers</title>
            <link>https://thestacks.org/publications/perspective-raman-spec-comparison</link>
            <description>We tested several spectrometers for spontaneous Raman spectroscopy as a rapid biological phenotyping tool. We analyzed the spectra from each instrument, comparing the resolution, signal-to-noise ratio, and ability to resolve peaks to determine the best fit for our research.</description>
            <pubDate>2025-03-16 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Perspective</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Paired residue prediction dependencies in ESM2</title>
            <link>https://thestacks.org/publications/result-paired-token-masking</link>
            <description>During a quick analysis of the ESM2 model for masked token prediction, we noticed that amino acid probability distributions of residues affect each other in a pattern that mirrors a protein’s 3D contact map. But less so for the larger model sizes. Our question to you is, why?</description>
            <pubDate>2025-03-09 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>Closing the divide between analysis and publication\: The notebook pub</title>
            <link>https://thestacks.org/publications/perspective-notebook-pub-format</link>
            <description>We&apos;re experimenting with treating our computational notebooks as publications themselves. This approach reduces publication burden, encourages faster publishing, and builds in reproducibility. Scientists can publish with minimal extra effort.</description>
            <pubDate>2025-03-09 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Perspective</category>
            <numComments>26</numComments>
        </item>

        <item>
            <title>Predicting antimicrobial resistance phenotypes across 7,000 *E. coli* genomes</title>
            <link>https://thestacks.org/publications/result-ecoli-amr-popgen-genomic-prediction</link>
            <description>We explored the genetic basis of antimicrobial resistance (AMR) phenotypes among 7,000 globally distributed strains of *E. coli*. AMR is associated with various genetic architectures that span multiple evolutionary scales.</description>
            <pubDate>2025-03-03 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>26</numComments>
        </item>

        <item>
            <title>DIY Raman spectroscopy for biological research</title>
            <link>https://thestacks.org/publications/resource-diy-raman-bio</link>
            <description>We optimized an open-source Raman spectrometer for solid and liquid biological samples, including microorganisms, organic solvents, and biochemicals. Here, we share a calibration protocol, data processing notebooks, sample prep methods, and a nascent spectral reference library.</description>
            <pubDate>2025-02-26 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Structure-based protein clustering sometimes, but not always, provides insight into protein function</title>
            <link>https://thestacks.org/publications/result-pc-validation-dck</link>
            <description>We asked whether ProteinCartography’s structure-based protein clustering reflects functional features of proteins. We found that proteins often clustered with proteins that have similar functions, but there were cases when this wasn’t the case.</description>
            <pubDate>2025-02-13 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>48</numComments>
        </item>

        <item>
            <title>An experimental and computational workflow to characterize nematode motility behavior</title>
            <link>https://thestacks.org/publications/method-nematode-motility</link>
            <description>We used straightforward microscopy and computational analyses to reproducibly characterize a nematode motility phenotype with interpretable features. This method should be scalable for high-throughput phenotypic screening.</description>
            <pubDate>2025-01-07 18:30:00</pubDate>
            <category>Method</category>
            <category>Not actively updating</category>
            <numComments>20</numComments>
        </item>

        <item>
            <title>Comparative phylogenomic analysis of chelicerates points to gene families associated with long-term suppression of host detection</title>
            <link>https://thestacks.org/publications/result-chelicerate-detection-suppression</link>
            <description>We investigated patterns of gene family evolution across ticks and other parasites. We used phylogenetic profiling and trait-association tests to identify gene families that may enable parasitic species to feed on hosts undetected for prolonged periods.</description>
            <pubDate>2025-01-01 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>23</numComments>
        </item>

        <item>
            <title>An interactive visualization tool for *Amblyomma americanum* differential expression data</title>
            <link>https://thestacks.org/publications/resource-amblyomma-americanum-differential-expression</link>
            <description>We analyzed RNA-seq data from *Amblyomma americanum* to explore gene expression linked to skin manipulation during tick feeding. We built an interactive app to explore the differential expression results and find patterns related to tick sex, tissue, and time in blood meal.</description>
            <pubDate>2025-01-01 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <category>Revised after community feedback</category>
            <numComments>16</numComments>
        </item>

        <item>
            <title>Early update on Arcadia publishing 2.0\: Scientists are in charge, speed is an issue</title>
            <link>https://thestacks.org/publications/result-early-publishing-v2-assessment</link>
            <description>Since starting v2 of our publishing model to restore scientist agency, pub “quality” has been similar, and this approach is more efficient overall. The major downside is that pubs take longer. We’re pursuing solutions to this and other problems but feel we’re on the right track.</description>
            <pubDate>2024-12-18 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>31</numComments>
        </item>

        <item>
            <title>Leveraging evolution to identify novel organismal models of human biology</title>
            <link>https://thestacks.org/publications/result-evolutionary-organismal-selection</link>
            <description>Researching just a handful of organisms limits biological discovery. We developed an approach pairing organisms with biological questions to expand research biodiversity.</description>
            <pubDate>2024-12-13 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>50</numComments>
        </item>

        <item>
            <title>Rescuing *Chlamydomonas* motility in mutants modeling spermatogenic failure</title>
            <link>https://thestacks.org/publications/result-chlamy-spgf</link>
            <description>We used *Chlamydomonas reinhardtii* motility mutants with disrupted genes homologous to human SPEF2 or DNALI1 to model spermatogenic failure disorders SPGF43 and SPGF83, respectively. We recovered aspects of wild-type motility in these mutants with a small-scale drug screen.</description>
            <pubDate>2024-12-13 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Iced</category>
            <category>Result</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>A data-driven approach to match organisms and research problems</title>
            <link>https://thestacks.org/publications/idea-selecting-better-models</link>
            <description>What if we could select research organisms that are far more relevant to human biology or more likely to unearth biological solutions not found in humans? With more sequence data, structural prediction, and phylogenetic comparative methods, a richer framework is possible.</description>
            <pubDate>2024-12-13 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Idea</category>
            <numComments>38</numComments>
        </item>

        <item>
            <title>A high-throughput imaging approach to track and quantify single-cell swimming</title>
            <link>https://thestacks.org/publications/resource-swimtracker-htp-swimming-assay</link>
            <description>Live imaging of swimming cells can yield insight into an organism’s viability and responses to environmental stimuli. We developed a microscopy workflow and image analysis pipeline, SwimTracker, to track motility phenotypes from swimming cells in high throughput.</description>
            <pubDate>2024-11-05 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>24</numComments>
        </item>

        <item>
            <title>Identifying circular DNA using short-read mapping</title>
            <link>https://thestacks.org/publications/method-circular-dna-id</link>
            <description>This workflow lets you find potential circular DNA in your organism of interest using short-read, whole-genome sequencing data and a reference genome. We applied it to parasitoid wasps and some other parasites and found putative circular DNA.</description>
            <pubDate>2024-08-21 18:30:00</pubDate>
            <category>Iced</category>
            <category>Method</category>
            <category>Not actively updating</category>
            <numComments>8</numComments>
        </item>

        <item>
            <title>Creating a 7,000-strain *E. coli* genotype dataset with antimicrobial resistance phenotypes</title>
            <link>https://thestacks.org/publications/dataset-ecoli-amr-genotype-phenotype</link>
            <description>We assembled a comprehensive *E. coli* antimicrobial resistance phenotype-genotype resource. This dataset will aid large-scale genetic studies on anti-microbial resistance and support research in phylogenetics and other fields.</description>
            <pubDate>2024-08-21 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Feedback requested</category>
            <numComments>36</numComments>
        </item>

        <item>
            <title>Identification of capsid-like proteins in venomous and parasitic animals</title>
            <link>https://thestacks.org/publications/result-venom-capsids</link>
            <description>Inspired by wasps co-opting viral capsids to deliver genes to the caterpillars they parasitize, we looked for capsid-like proteins in other species. We found capsid homologs in ticks and other parasites, suggesting this phenomenon could be more widespread than previously known.</description>
            <pubDate>2024-08-08 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>32</numComments>
        </item>

        <item>
            <title>Using protein language models to predict coding and non-coding transcripts with plm-utils</title>
            <link>https://thestacks.org/publications/resource-plm-utils</link>
            <description>We explored the use of embeddings from protein language models to distinguish between genuine and putative coding open reading frames (ORFs). We found that an embeddings-based approach (shared as a small Python package called plm-utils) improves identification of short ORFs.</description>
            <pubDate>2024-08-07 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>21</numComments>
        </item>

        <item>
            <title>Predicting bioactive peptides from transcriptome assemblies with the peptigate workflow</title>
            <link>https://thestacks.org/publications/resource-peptigate</link>
            <description>Peptigate predicts bioactive peptides from transcriptomes. It integrates existing tools to predict sORF-encoded peptides, cleavage peptides, and RiPPs, then annotates them for bioactivity and other properties. We welcome feedback on expanding its capabilities.</description>
            <pubDate>2024-08-07 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>23</numComments>
        </item>

        <item>
            <title>The known protein universe is phylogenetically biased</title>
            <link>https://thestacks.org/publications/result-protein-universe-phylogenetic-bias</link>
            <description>Many protein prediction and design models rely on evolutionary comparisons. We show that popular databases are phylogenetically biased, influencing the statistical utility of the known protein universe in important ways.</description>
            <pubDate>2024-07-31 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>40</numComments>
        </item>

        <item>
            <title>Label-free neuroimaging in mice captures sensory activity in response to tactile stimuli and acute pain</title>
            <link>https://thestacks.org/publications/result-sensory-neuroimaging</link>
            <description>Sensory disorders are clinically common, debilitating conditions. But mouse behavioral models are often insufficient. We demonstrate that label-free, minimally invasive brain imaging in mice could be a promising avenue for sensory research or drug discovery efforts.</description>
            <pubDate>2024-07-25 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>24</numComments>
        </item>

        <item>
            <title>The experiment continues\: Arcadia publishing 2.0</title>
            <link>https://thestacks.org/publications/perspective-publishing-version-two</link>
            <description>Two years into our publishing experiment, we’ve learned a lot. We built internal processes that worked but inadvertently decreased scientists&apos; agency and creativity. Now, we’re minimizing process in an effort to empower our scientists to share their work how they see fit.</description>
            <pubDate>2024-06-12 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Perspective</category>
            <numComments>20</numComments>
        </item>

        <item>
            <title>Raman spectroscopy enables rapid and inexpensive exploration of biology</title>
            <link>https://thestacks.org/publications/result-easy-raman-spectroscopy</link>
            <description>To test its utility in analyzing biological samples, we built an open-source Raman spectrometer and collected spectra from chilis, beer, and algae. We could stratify samples, classify replicates, and link spectra with quantitative traits of beer (ABV) and chilis (perceived heat).</description>
            <pubDate>2024-05-30 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>16</numComments>
        </item>

        <item>
            <title>How can we biochemically validate protein function predictions with the Ras GTPase family?</title>
            <link>https://thestacks.org/publications/open-question-rasgtpase-proteincartography</link>
            <description>We’re using the well-studied superfamily of small monomeric GTPases, the Ras GTPases, to evaluate our structure-based clustering tool, ProteinCartography. We’re seeking feedback on working with this protein family and determining which individual proteins to study.</description>
            <pubDate>2024-05-30 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Open question</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>How can we biochemically validate protein function predictions with the deoxycytidine kinase family?</title>
            <link>https://thestacks.org/publications/open-question-dck-proteincartography</link>
            <description>The human deoxycytidine kinase, a member of the nucleoside salvage pathway, has been studied extensively. We’ll use this family to assess our structure-based protein clustering tool, ProteinCartography. We’d love feedback on how we might work with this protein for validation.</description>
            <pubDate>2024-05-30 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Open question</category>
            <numComments>15</numComments>
        </item>

        <item>
            <title>A strategy to validate protein function predictions *in vitro*</title>
            <link>https://thestacks.org/publications/idea-how-to-validate-proteincartography</link>
            <description>We aim to validate ProteinCartography, a tool for structure-based protein clustering, by evaluating two foundational hypotheses: that proteins within a cluster have similar functions and proteins in different clusters have differing functions.</description>
            <pubDate>2024-05-30 18:30:00</pubDate>
            <category>Idea</category>
            <category>Not actively updating</category>
            <numComments>31</numComments>
        </item>

        <item>
            <title>The phenotype-o-mat\: A flexible tool for collecting visual phenotypes</title>
            <link>https://thestacks.org/publications/method-automated-phenotype-imaging</link>
            <description>We’ve developed an easy-to-assemble apparatus and software for the automated collection of visible biological phenotypes such as growth, macroscopic morphology, motion, reflectance, and fluorescence.</description>
            <pubDate>2024-04-23 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>17</numComments>
        </item>

        <item>
            <title>How can we measure and communicate the impact of science?</title>
            <link>https://thestacks.org/publications/open-question-measuring-reuse</link>
            <description>How can we measure the true impact of science? We&apos;re seeking feedback on indicators of the utility and rigor of publications beyond traditional journal metrics. Your input will help shape the future of our publishing experiment.</description>
            <pubDate>2024-03-28 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Open question</category>
            <numComments>68</numComments>
        </item>

        <item>
            <title>A structurally divergent actin conserved in fungi has no association with specific traits</title>
            <link>https://thestacks.org/publications/negative-data-divergent-fungal-actins</link>
            <description>We outline a comparative approach to investigate protein function by correlating the presence or absence of a protein with species-level phenotypes. We applied this strategy to a novel actin isoform in fungi but didn’t find an association with any of the phenotypes we considered.</description>
            <pubDate>2024-03-05 18:30:00</pubDate>
            <category>Negative data</category>
            <category>Not actively updating</category>
            <numComments>8</numComments>
        </item>

        <item>
            <title>How can we improve upon and expand the scope of our phylogenomic inferences?</title>
            <link>https://thestacks.org/publications/open-question-noveltree-extensions</link>
            <description>We’re seeking feedback on NovelTree, our modular phylogenomic workflow. We’d appreciate your insights into how we can improve gene family inference, incorporate protein structure predictions, and expand to whole-genome data as input.</description>
            <pubDate>2024-03-04 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Open question</category>
            <numComments>15</numComments>
        </item>

        <item>
            <title>Predicted genes from the *Amblyomma americanum* draft genome assembly</title>
            <link>https://thestacks.org/publications/dataset-amblyomma-americanum-predicted-genes</link>
            <description>We previously released a draft genome assembly for the lone star tick, *A. americanum.* We&apos;ve now predicted genes from this assembly to use for downstream functional characterization and comparative genomics efforts.</description>
            <pubDate>2024-02-23 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Not actively updating</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>Exploring the actin family\: A case study for ProteinCartography</title>
            <link>https://thestacks.org/publications/result-actin-structural-clustering</link>
            <description>We&apos;ve applied ProteinCartography, a tool for protein family exploration, to the well-studied actin family. We’re able to categorize actins and related proteins into distinguishable functional buckets, and we uncovered some surprising hypotheses that could prompt further study.</description>
            <pubDate>2024-02-13 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>6</numComments>
        </item>

        <item>
            <title>Repeat expansions associated with human disease are present in diverse organisms</title>
            <link>https://thestacks.org/publications/result-neurodegeneration-repeat-expansion-homology</link>
            <description>Some human proteins are encoded by genes with repetitive sequences, which, if they expand, damage the nervous system and cause disorders like Huntington’s disease. We found animals with similar proteins that have more repeats than we’ve ever seen in healthy people.</description>
            <pubDate>2023-12-19 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>2</numComments>
        </item>

        <item>
            <title>How can we identify the common molecular signatures underlying polyphosphate accumulation?</title>
            <link>https://thestacks.org/publications/open-question-polyphosphate-discovery</link>
            <description>Since releasing our pub on polyphosphate-forming proteins in bacteria, we’ve noticed the community has similar problems studying this process in diverse organisms. We’re actively seeking feedback with a focus on advancing basic discoveries and useful tools in this space!</description>
            <pubDate>2023-12-19 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Open question</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>Automated classification of time-course imaging data applied to nematode embryogenesis</title>
            <link>https://thestacks.org/publications/resource-nematode-classifier</link>
            <description>Machine learning is a powerful tool for classifying images in a time series, such as the developmental stages of embryos. We built a classifier using only bright-field microscopy images to infer nematode embryonic stages at high throughput.</description>
            <pubDate>2023-12-01 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>1</numComments>
        </item>

        <item>
            <title>Combinatorial indexing and screening of clonal DNA fragments</title>
            <link>https://thestacks.org/publications/idea-htp-dna-screening</link>
            <description>Oligo pools can contain millions of unique sequences, but they’re limited by length, error rate, and bias. We propose methods to scalably screen synthetic DNA libraries, so an individual researcher can obtain thousands of error-free synthetic DNA assemblies at low cost.</description>
            <pubDate>2023-12-01 18:30:00</pubDate>
            <category>Iced</category>
            <category>Idea</category>
            <category>Not actively updating</category>
            <numComments>8</numComments>
        </item>

        <item>
            <title>Streamlining microscopy datasets by enriching for in-focus frames</title>
            <link>https://thestacks.org/publications/resource-filtering-in-focus-frames</link>
            <description>We distilled label-free microscopy data by comparing and implementing feature-detection algorithms. Sobel and Laplacian methods outperformed pixel intensity variance in accuracy.</description>
            <pubDate>2023-11-16 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>6</numComments>
        </item>

        <item>
            <title>Icebox is a science-sharing strategy designed to encourage risk-taking</title>
            <link>https://thestacks.org/publications/perspective-icebox-lessons</link>
            <description>Our &quot;icebox&quot; is where we share the projects that we&apos;ve decided not to continue. We surveyed our company to understand resulting cultural shifts and how others are carrying our iced work forward.</description>
            <pubDate>2023-11-01 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Perspective</category>
            <numComments>6</numComments>
        </item>

        <item>
            <title>Discovering shared protein structure signatures connected to polyphosphate accumulation in diverse bacteria</title>
            <link>https://thestacks.org/publications/result-ppk1-homology</link>
            <description>Only some bacteria accumulate substantial amounts of polyphosphate (polyP). We thought that despite sequence divergence, polyP synthesis enzymes in these bacteria might have similar structures. We found this is sometimes true but doesn’t fully explain the phenomenon.</description>
            <pubDate>2023-10-05 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Result</category>
            <category>Revised after community feedback</category>
            <numComments>9</numComments>
        </item>

        <item>
            <title>ProteinCartography\: Comparing proteins with structure-based maps for interactive exploration</title>
            <link>https://thestacks.org/publications/resource-protein-cartography</link>
            <description>The ProteinCartography pipeline identifies proteins related to a query protein using sequence- and structure-based searches, compares all protein structures, and creates a navigable map that can be used to look at protein relationships and make hypotheses about function.</description>
            <pubDate>2023-09-28 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>42</numComments>
        </item>

        <item>
            <title>NovelTree\: Highly parallelized phylogenomic inference</title>
            <link>https://thestacks.org/publications/resource-noveltree</link>
            <description>We want to find and use evolutionary innovations to solve present-day problems. We developed NovelTree, an efficient phylogenomic workflow that will empower us to decode the evolutionary traces of these innovations across the tree of life.</description>
            <pubDate>2023-09-28 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Resource</category>
            <numComments>13</numComments>
        </item>

        <item>
            <title>Comparing gene expression across species based on protein structure</title>
            <link>https://thestacks.org/publications/idea-structure-based-expression-comparison</link>
            <description>We investigated protein structure predictions as an alternative to protein sequence homology for comparing single-cell RNA-seq data across species.</description>
            <pubDate>2023-09-28 18:30:00</pubDate>
            <category>Iced</category>
            <category>Idea</category>
            <category>Not actively updating</category>
            <numComments>14</numComments>
        </item>

        <item>
            <title>Applying information theory to genetics can better explain biological phenomena</title>
            <link>https://thestacks.org/publications/perspective-genetics-and-information-theory</link>
            <description>Genetic models of complex traits often rely on incorrect assumptions that drivers of trait variation are additive and independent. An information theoretic framework for analyzing trait variation can better capture phenomena like allelic dominance and gene-gene interaction.</description>
            <pubDate>2023-09-26 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Perspective</category>
            <category>Revised after community feedback</category>
            <numComments>6</numComments>
        </item>

        <item>
            <title>Harnessing genotype-phenotype nonlinearity to accelerate biological prediction</title>
            <link>https://thestacks.org/publications/result-nonlinear-phenotypes</link>
            <description>It is commonly assumed that phenotypes arise from the cumulative effects of many independent genes. However, we show that by accounting for dependent and nonlinear biological relationships, we can generate models that predict phenotypes with great accuracy.</description>
            <pubDate>2023-09-21 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <category>Revised after community feedback</category>
            <numComments>19</numComments>
        </item>

        <item>
            <title>A capsid-based search recovers viral sequences from human brain sequencing data</title>
            <link>https://thestacks.org/publications/result-viral-search-brain-seq-data</link>
            <description>We implemented a lightweight method to identify viruses in 342 human brain bulk and single-cell sequencing data sets, and identified two glioblastoma cells from a single patient that contained deltapolyomavirus sequences.</description>
            <pubDate>2023-08-24 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>Identifying candidate accessory domains by mining putative venom protein fusions</title>
            <link>https://thestacks.org/publications/result-venom-toxin-accessory-sequences</link>
            <description>Hoping to find proteins that alter physiology in useful ways, we screened venom data sets for toxins fused to domains with additional functionality. We identified candidates, but struggled to infer any novel functions, and none seem well-conserved across venomous species.</description>
            <pubDate>2023-08-14 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>3</numComments>
        </item>

        <item>
            <title>Putative horizontal gene transfer events point to candidate genes involved in cross-species neuromodulation</title>
            <link>https://thestacks.org/publications/result-hgt-neuromodulators</link>
            <description>We are interested in neuroactive metabolites that influence animal behavior. Some fungi have horizontally transferred neuroactive metabolite pathways between species. We used a horizontal gene transfer detection pipeline to screen for novel fungal genes tied to neuroactivity.</description>
            <pubDate>2023-07-19 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>PreHGT\: A scalable workflow that screens for horizontal gene transfer within and between kingdoms</title>
            <link>https://thestacks.org/publications/resource-prehgt</link>
            <description>Horizontal gene transfer (HGT) is the exchange of DNA between species. It can lead to the acquisition of new gene functions, so finding HGT events can reveal genome novelty. preHGT is a pipeline that uses multiple existing methods to quickly screen for transferred genes.</description>
            <pubDate>2023-07-19 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>2</numComments>
        </item>

        <item>
            <title>Isolation of a phage with an arabinosylated genome from a cheese microbial community</title>
            <link>https://thestacks.org/publications/result-arabinosylated-phage-genome</link>
            <description>We sampled cheese microbial communities to discover bacteriophages with unusual genome chemistries. We isolated 114 bacterial host strains and 17 phages, and identified one phage with a probable arabinose hypermodification of hydroxymethylcytosine.</description>
            <pubDate>2023-07-18 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>12</numComments>
        </item>

        <item>
            <title>Clustering the NCBI nr database to reduce database size and enable faster BLAST searches</title>
            <link>https://thestacks.org/publications/resource-nr-clustering</link>
            <description>The increasingly large number of sequences available in public databases makes searches slower and slower. We clustered the NCBI non-redundant protein database and calculated taxonomic info for each cluster. This collapses similar sequences and reduces the database by over half.</description>
            <pubDate>2023-07-18 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>5</numComments>
        </item>

        <item>
            <title>Phenotypic differences between interfertile *Chlamydomonas* species</title>
            <link>https://thestacks.org/publications/result-chlamydomonas-phenotypes</link>
            <description>We’re crossing *C. reinhardtii* and *C. smithii* algae for high-throughput genotype-phenotype mapping. In preparation, we’re comparing the parents to uncover unique species-specific phenotypes.</description>
            <pubDate>2023-06-22 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <category>Revised after community feedback</category>
            <numComments>26</numComments>
        </item>

        <item>
            <title>Raman spectra reflect complex phylogenetic relationships</title>
            <link>https://thestacks.org/publications/result-raman-taxonomy</link>
            <description>Even with many tools available, categorizing species is tough. We used data from Raman spectroscopy, a form of label-free imaging, to infer phylogenetic patterns among several dozen diverse microbial taxa, offering a non-destructive and rapid way to dissect species relationships.</description>
            <pubDate>2023-06-14 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Result</category>
            <numComments>12</numComments>
        </item>

        <item>
            <title>Quickly preprocessing and profiling microbial community sequencing data with a Nextflow workflow for metagenomics</title>
            <link>https://thestacks.org/publications/resource-metagenomics-workflow</link>
            <description>We want to seamlessly process and summarize metagenomics data from Illumina or Nanopore technologies. We built a Nextflow workflow that handles common metagenomics tasks and produces useful outputs and intuitive visualizations.</description>
            <pubDate>2023-05-25 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>Gotta catch ‘em all\: Agar microchambers for high-throughput single-cell live imaging</title>
            <link>https://thestacks.org/publications/resource-agar-microchambers</link>
            <description>Constraining motile microorganisms for live imaging often requires costly microfluidics or optical traps to keep them in view. We used patterned stamps and agar to make versatile, inexpensive “microchambers” and offer a way to predict the right chamber size for a given organism.</description>
            <pubDate>2023-05-02 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>17</numComments>
        </item>

        <item>
            <title>HiPR-FISH spatial mapping of cheese rind microbial communities</title>
            <link>https://thestacks.org/publications/data-set-hipr-fish-spatial-imaging-cheese</link>
            <description>Seeing how microbes are organized within a community can inspire hypotheses about how species interact with each other. We used HiPR-FISH spatial imaging to look at the distribution of microbes within five distinct microbial communities growing on the surface of aged cheeses.</description>
            <pubDate>2023-04-25 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Iced</category>
            <category>Not actively updating</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Streamlining genome assembly and QC with the reads2genome workflow</title>
            <link>https://thestacks.org/publications/resource-reads2genome</link>
            <description>We want to swiftly generate genome assemblies and produce quality control statistics to gauge the need for more curation. We built a Nextflow pipeline that assembles Illumina, Nanopore, or PacBio sequencing reads for a single organism and runs QC checks on the resulting assembly.</description>
            <pubDate>2023-04-10 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>2</numComments>
        </item>

        <item>
            <title>*De novo* assembly of a long-read *Amblyomma americanum* tick genome</title>
            <link>https://thestacks.org/publications/dataset-amblyomma-americanum-genome</link>
            <description>We generated a whole-genome assembly for the lone star tick to serve as a reference for downstream efforts where whole-genome maps are required. We created our assembly using pooled DNA from salivary glands of 50 adult female ticks that we sequenced using PacBio HiFi reads.</description>
            <pubDate>2023-03-29 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Not actively updating</category>
            <numComments>13</numComments>
        </item>

        <item>
            <title>Inducing protoplast formation in *Phaeodactylum tricornutum* by silica deprivation, enzymatic treatment, or cytoskeletal inhibition</title>
            <link>https://thestacks.org/publications/result-phaeodactylum-morphology-cytoskeleton</link>
            <description>Treating *P. tricornutum* cells with serine endopeptidases or certain cytoskeletal inhibitors induces the formation of cell wall-free protoplasts and suggests a novel role for actin and myosin in preventing protoplast formation.</description>
            <pubDate>2023-03-27 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>6</numComments>
        </item>

        <item>
            <title>Challenges of isolating bacteriophage mRNA for chemical analysis</title>
            <link>https://thestacks.org/publications/negative-data-phage-rna-isolation</link>
            <description>We struggled to isolate enough phage mRNA for HPLC as we searched for new nucleoside chemistries. Ribodepleting the abundant extracted rRNA introduced contaminating DNA, and we were still left with more bacterial mRNA than phage transcripts. We suggest an alternative approach.</description>
            <pubDate>2023-03-13 18:30:00</pubDate>
            <category>Iced</category>
            <category>Negative data</category>
            <category>Not actively updating</category>
            <numComments>3</numComments>
        </item>

        <item>
            <title>Paired long- and short-read metagenomics of cheese rind microbial communities at multiple time points</title>
            <link>https://thestacks.org/publications/data-set-metagenomics-timecourse-cheese</link>
            <description>How do you approach getting a microbiome set up in a new lab? We’re sharing protocols for how we collected, stocked, and sequenced a set of cheese rind microbiomes and generated a high-quality metagenomics resource for future computational studies.</description>
            <pubDate>2023-03-10 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Iced</category>
            <category>Not actively updating</category>
            <numComments>7</numComments>
        </item>

        <item>
            <title>Creating reproducible workflows for complex computational pipelines</title>
            <link>https://thestacks.org/publications/perspective-reproducible-workflows</link>
            <description>A workflow orchestration framework can streamline repeatable tasks and make workflows broadly usable. From several options, we chose Nextflow due to the ease of deploying across platforms, vibrant nf-core community, and ability to manage and monitor workflows with Nextflow Tower.</description>
            <pubDate>2023-03-06 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Perspective</category>
            <numComments>11</numComments>
        </item>

        <item>
            <title>A new R package, sourmashconsumr, for analyzing and visualizing the outputs of sourmash</title>
            <link>https://thestacks.org/publications/resource-sourmashconsumr</link>
            <description>The sourmash Python package produces many outputs that describe the content and similarity of sequencing data. We developed a new R package, sourmashconsumr, that lets a wider range of users easily load, analyze, and visualize those outputs in R.</description>
            <pubDate>2023-02-20 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>Speeding up the quality control of raw sequencing data using seqqc, a Nextflow-based solution</title>
            <link>https://thestacks.org/publications/resource-seqqc</link>
            <description>seqqc is a Nextflow pipeline for quality control of short- or long-read sequencing data. It quickly assesses the quality of sequencing data so that it can be posted to a public repository before analysis for biological insights. Faster open data, faster knowledge for everyone.</description>
            <pubDate>2023-02-20 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>0</numComments>
        </item>

        <item>
            <title>A workflow to isolate phage DNA and identify nucleosides by HPLC and mass spectrometry</title>
            <link>https://thestacks.org/publications/method-phage-nucleoside-analysis</link>
            <description>This pub details a process for phage amplification and concentration, DNA extraction, and HPLC and MS analysis of phage nucleosides. We optimized the approach with model phages known to use non-canonical nucleosides in their DNA, but plan to apply it for other phages.</description>
            <pubDate>2022-12-18 18:30:00</pubDate>
            <category>Iced</category>
            <category>Method</category>
            <category>Not actively updating</category>
            <category>Revised after community feedback</category>
            <numComments>7</numComments>
        </item>

        <item>
            <title>Chlorarachniophytes form light- and Arp2/3 complex-dependent extensions that are involved in motility and predation</title>
            <link>https://thestacks.org/publications/result-chlorarachniophyte-extensions</link>
            <description>Long protrusions from several microalgal species appear to help cells move, capture prey, transport mitochondria and chloroplasts, and more. Are they filopodia that evolved abilities more like other actin- or microtubule-based structures, or are they something new?</description>
            <pubDate>2022-12-03 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>9</numComments>
        </item>

        <item>
            <title>Defining actin\: Combining sequence, structure, and functional analysis to propose useful boundaries</title>
            <link>https://thestacks.org/publications/idea-defining-actin</link>
            <description>The process of deciding whether a candidate actin homolog represents a “true” actin is tricky. We propose clear and data-driven criteria to define actin that highlight the functional importance of this protein while accounting for phylogenetic diversity.</description>
            <pubDate>2022-11-30 18:30:00</pubDate>
            <category>Feedback requested</category>
            <category>Idea</category>
            <category>Revised after community feedback</category>
            <numComments>44</numComments>
        </item>

        <item>
            <title>Distinct spatiotemporal movement properties reveal sub-modalities in crawling cell types</title>
            <link>https://thestacks.org/publications/result-comparative-crawling</link>
            <description>Quantifying movement is a powerful window into cellular functions. However, cells can generate movement through a variety of complex mechanisms. Here, we generate a flexible framework for comparing an especially variable type of motility: cellular crawling.</description>
            <pubDate>2022-10-13 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Result</category>
            <numComments>4</numComments>
        </item>

        <item>
            <title>Microchamber slide design for cell confinement during imaging</title>
            <link>https://thestacks.org/publications/resource-microchamber-slide</link>
            <description>Cells can be highly motile, moving in and out of a microscope’s field of view. Understanding complex life cycles is difficult without continuous observation. To overcome this challenge, we’ve developed a 3D-printed microchamber device to confine cells for long-term visualization.</description>
            <pubDate>2022-08-22 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Resource</category>
            <category>Revised after community feedback</category>
            <numComments>10</numComments>
        </item>

        <item>
            <title>Designing genome-wide MERFISH probes for understudied species</title>
            <link>https://thestacks.org/publications/resource-spatial-genomics-probe-pipeline</link>
            <description>Researchers studying any organism with genomic data can follow this simple walkthrough to create sets of barcoded probes for the multiplexed FISH technique called MERFISH. We’re sharing interactive code notebooks that can be adapted to design barcoded FISH probes for any species.</description>
            <pubDate>2022-05-30 18:30:00</pubDate>
            <category>Iced</category>
            <category>Not actively updating</category>
            <category>Resource</category>
            <numComments>1</numComments>
        </item>

        <item>
            <title>The experiment begins\: Arcadia publishing 1.0</title>
            <link>https://thestacks.org/publications/perspective-publishing-round-one</link>
            <description>Building on the open-source platform PubPub, we’re sharing the first iteration of our publishing website. In addition to posting our first set of research pubs, we’re documenting our progress in developing this new system for sharing science and hope you’ll provide feedback.</description>
            <pubDate>2022-05-30 18:30:00</pubDate>
            <category>Not actively updating</category>
            <category>Perspective</category>
            <numComments>116</numComments>
        </item>

        <item>
            <title>Performing mass spectrometry-based proteomics in organisms with minimal reference protein databases</title>
            <link>https://thestacks.org/publications/method-mass-spec-proteomics-transcriptomics</link>
            <description>If you’re interested in generating proteomics data but your organism of interest doesn’t have a sequenced genome to use as a reference database, it is straightforward and useful to collect a transcriptome instead.</description>
            <pubDate>2022-05-30 18:30:00</pubDate>
            <category>Method</category>
            <category>Not actively updating</category>
            <numComments>12</numComments>
        </item>

        <item>
            <title>Robust long-read saliva transcriptome and proteome from the lone star tick, *Amblyomma americanum*</title>
            <link>https://thestacks.org/publications/data-set-transcriptome-proteome-amblyomma-americanum</link>
            <description>The way you generate a reference database has a real impact on the completeness and results of proteomics experiments.</description>
            <pubDate>2022-05-30 18:30:00</pubDate>
            <category>Dataset</category>
            <category>Not actively updating</category>
            <numComments>15</numComments>
        </item>
    </channel>
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