AgBioData-LIST February 2026

agbiodata-list@bioinfo.wsu.edu

1 participants
3 discussions

AgBioData March 2026 webinar -- John McNamara on Integrating Phenomics and Phenotypes into Agricultural Databases

by MARCELA KAREY TELLO-RUIZ

Hi Everybody, On Wednesday, March 4th,12 PM CT, *John McNamara* <https://serc.carleton.edu/person/53858.html>, Professor Emeritus of Animal Sciences at Washington State University, will present the talk titled: “*Integrating phenomics and phenotypes into agricultural databases.*” Zoom link and abstract below. We hope you will join us. Kind regards, Marcela -- Wednesday, March 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+March+2…> . Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09 Meeting ID: 820 3835 6125 Passcode: 160683 -- Speaker: *John McNamara* <https://serc.carleton.edu/person/53858.html>, Professor Emeritus of Animal Sciences at Washington State University Title: Integrating phenomics and phenotypes into agricultural databases Abstract: The United States agriculture and food systems research and education system remains the envy of the world, and the US Department of Agriculture and the Land-Grant University system lead the public and private partnerships that have improved agricultural productivity and human health phenomenally for over 160 years. The continuation of these improvements relies on equitable access to trustworthy data, particularly in genetics and phenomics, and the ability to leverage such data to address future scientific challenges. In the new article set forth by the Phenotypic Data Standardization and Management working group, we discuss the growing need in agriculture for phenomic databases that follow findable, accessible, interoperable, and reproducible (FAIR) data guidelines, as well as the need for public policy supporting a sustainable funding model for these databases. -- Marcela Karey Tello-Ruiz, PhD AgBioData Program Manager Phoenix Bioinformatics

2 weeks, 2 days

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 month

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

1 month, 1 week

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AgBioData-LIST February 2026