AgBioData-LIST February 2026

agbiodata-list@bioinfo.wsu.edu

1 participants
2 discussions

Spots available for in-person participation at the AgBioData Annual Workshop (April 20–22, 2026)

by MARCELA KAREY TELLO-RUIZ

Dear Colleagues, We have some spots available to attend the AgBioData Annual Workshop IN PERSON. This hybrid event will be held on April 20–22, 2026, in Olathe, Kansas. To be eligible for support, you will need to be affiliated at a US-based institution. We will pay for airfare or equivalent, two nights lodging, meals and ground transportation in Kansas. Please let me know ASAP if you would be willing and able to participate in person. There is no cost for national and international participants to join remotely. We hope you will be able to join us! Marcela On behalf of AgBioData Community Workshop Organizing Committee -- Marcela Karey Tello-Ruiz, PhD AgBioData Program Manager Phoenix Bioinformatics

1 week, 3 days

THIS Wednesday -- AgBiodata February 2026 webinar: Pascale Gaudet, Gene Ontology and Network Modeling

by MARCELA KAREY TELLO-RUIZ

Hi Everybody, This Wednesday, February 4th, 12PM CT, Pascale Gaudet, Gene Ontology Project Manager at the Swiss Institute Bioinformatics, will present the talk titled: “*Extending the Gene Ontology for Biological Network Modeling*”. Zoom link and abstract below. We hope you will join us! Kind regards, Marcela -- Wednesday, February 4th, 12PM CT | 1P ET | 12P CT | 11A MT | 10A PT | Find your local time here https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Februar… . Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09 Meeting ID: 820 3835 6125 Passcode: 160683 -- Speaker: Pascale Gaudet, Swiss Institute of Bioinformatics Title: Extending the Gene Ontology for Biological Network Modeling Abstract: The Gene Ontology (GO) is an essential resource in the bioinformatics landscape, supporting a wide range of applications. It serves both as a comprehensive encyclopedia of biological knowledge and as a key tool for interpreting high-throughput biological data. More recently, GO has expanded to support biological network modeling through the development of GO Causal Activity Models (GO-CAMs), which enable network analysis within the highly structured GO data framework. This presentation will introduce the GO-CAM data model, describe its relationship to standard GO annotations, and highlight ontology developments driven by GO-CAM requirements. It will also discuss how GO is leveraging artificial intelligence to enhance multiple aspects of the GO workflow, including ontology development, annotation, and quality control. -- Marcela Karey Tello-Ruiz, PhD AgBioData Program Manager Phoenix Bioinformatics

2 weeks, 5 days

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AgBioData-LIST February 2026