Seemay Chou, Kira E. Poskanzer, and Peter S. Thuy-Boun
SC
TD
BF
WH
KP
+6
Published: May 31, 2022
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.
Feridun Mert Celebi, Elizabeth A. McDaniel, and Taylor Reiter
SC
+2
Published: Mar 07, 2023
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.
Seemay Chou, Kira E. Poskanzer, MaryClare Rollins, and Peter S. Thuy-Boun
SC
TD
BF
KP
TR
+2
Published: Mar 30, 2023
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.
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.
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.
Feridun Mert Celebi, Seemay Chou, Erin McGeever, Austin H. Patton, and Ryan York
SC
+4
Published: Sep 29, 2023
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.
Prachee Avasthi, Feridun Mert Celebi, Elizabeth A. McDaniel, Kira E. Poskanzer, Michael E. Reitman, and Emily C.P. Weiss
SC
RD
+5
Published: Dec 20, 2023
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.
Adair L. Borges, Seemay Chou, and Megan L. Hochstrasser
SC
Published: Nov 02, 2023
Our "icebox" is where we share the projects that we've decided not to continue. We surveyed our company to understand resulting cultural shifts and how others are carrying our iced work forward.
Feridun Mert Celebi, Keith Cheveralls, Seemay Chou, Tara Essock-Burns, and Galo Garcia III
KC
SC
TE
Published: Nov 17, 2023
We distilled label-free microscopy data by comparing and implementing feature-detection algorithms. Sobel and Laplacian methods outperformed pixel intensity variance in accuracy.
Prachee Avasthi, Feridun Mert Celebi, Keith Cheveralls, Seemay Chou, Ilya Kolb, and David Q. Matus
KC
SC
AH
+5
Published: Dec 02, 2023
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.
Feridun Mert Celebi, Seemay Chou, Elizabeth A. McDaniel, Taylor Reiter, and Emily C.P. Weiss
SC
RD
+2
Published: Feb 24, 2024
We previously released a draft genome assembly for the lone star tick, A. americanum. We've now predicted genes from this assembly to use for downstream functional characterization and comparative genomics efforts.
Prachee Avasthi, Megan L. Hochstrasser, and Robert Roth
SC
Published: Jun 13, 2024
Two years into our publishing experiment, we’ve learned a lot. We built internal processes that worked but inadvertently decreased scientists' agency and creativity. Now, we’re minimizing process in an effort to empower our scientists to share their work how they see fit.
Adair L. Borges, Seemay Chou, Ilya Kolb, Ryan Lane, David G. Mets, and Kira E. Poskanzer
KC
SC
IK
+4
Published: Jul 26, 2024
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.
Brae M. Bigge, Adair L. Borges, Seemay Chou, Elizabeth A. McDaniel, Kira E. Poskanzer, and Ryan York
BB
SC
RD
+5
Published: Aug 09, 2024
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 wider spread than previously known.
Adair L. Borges, Feridun Mert Celebi, Keith Cheveralls, Seemay Chou, Taylor Reiter, and Emily C.P. Weiss
KC
SC
+2
Published: Aug 08, 2024
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.