Kindly, Dr. Itai Antoine Toker made us aware of the paper Uyar et al. Genome Research 2012 (PMID: 22772596/ WBPaper00041271), which contains a genome-wide set of operon predictions for C. briggsae. The data was mapped forward to the current gene set using the Sequence IDs supplied. 1034 operons were captured from the publication, but because of the time between publication and extensive re-annotation of C. briggsae only 709 of these operons had enough information to allow us to map them precisely onto the genome and supplement the C. briggsae operon JBrowse track. If you find some interesting dataset you’d like WormBase to curate, please let us know at firstname.lastname@example.org
Check out this new chapter in WormBook, GENETICS, “Natural genetic variation as a tool for discovery in Caenorhabditis nematodes” by Erik C. Andersen and Matthew V. Rockman (published Jan 04, 2022).
See paper by Hugo Bellen, Jane Hubbard, Ruth Lehmann, Hiten Madhani, Lila Solnica-Krezel and Michelle Southard-Smith.
We are happy to introduce Wormicloud, a new tool that summarizes scientific articles in a graphical way through word clouds. This tool is aimed at facilitating the discovery of new experimental results not yet curated by model organism databases and is designed for both researchers and biocurators. Wormicloud is customized for the Caenorhabditis elegans literature and provides several advantages over existing solutions, including being able to perform full-text searches through Textpresso, which provides more accurate results than other existing literature search engines.
Wormicloud is integrated through direct links from gene interaction pages in WormBase. Additionally, it allows analysis on the gene sets obtained from literature searches with other WormBase tools such as SimpleMine and Gene Set Enrichment. URL: https://wormicloud.textpressolab.com.
You can also read the paper that describes Wormicloud.