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.
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.
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.
Adair L. Borges, Feridun Mert Celebi, Kira E. Poskanzer, and Taylor Reiter
RD
KP
TR
Published: Aug 25, 2023
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.
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.
Prachee Avasthi, Brae M. Bigge, Feridun Mert Celebi, Keith Cheveralls, Jase Gehring, Erin McGeever, Gilad Mishne, Atanas Radkov, and 1 more
BB
KC
RD
+14
Published: Sep 29, 2023
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.
Prachee Avasthi, Feridun Mert Celebi, and Elizabeth A. McDaniel
BB
+3
Published: Oct 06, 2023
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.
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, Megan L. Hochstrasser, Elizabeth A. McDaniel, and Jasmine Neal
MD
Published: Dec 20, 2023
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!
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.
Adair L. Borges, Feridun Mert Celebi, Keith Cheveralls, and Taylor Reiter
KC
GM
+1
Published: Aug 08, 2024
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.
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.
Adair L. Borges, Feridun Mert Celebi, Reilly O. Cooper, and Elizabeth A. McDaniel
RC
+1
Published: Aug 22, 2024
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.