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dkNET Webinar "Texera Gene2GO: Generation of High Confidence Gene Regulatory Networks From Clinical Transcriptomes"
dkNET Webinar "Texera Gene2GO: Generation of High Confidence Gene Regulatory Networks From Clinical Transcriptomes"
Join dkNET Webinar on Friday, November 20, 2026, 11 am - 12 pm PT
Presenter: Neil McKenna, PhD, Professor, Department of Molecular and Cellular Biology, Baylor College of Medicine
Abstract
Gene regulatory networks (GRNs) are contextual sets of transcriptional regulators that drive specific gene expression programs in response to afferent signaling events. We previously described a curated public ChIP-Seq dataset-based pipeline to computing GRNs from clinical gene sets. Here we describe implementation of this pipeline in Texera, an AI-based hypothesis generation platform under development by the DKNET consortium. We will describe the curatorial basis of our GRN pipeline and demonstrate how it positions researchers to generate high confidence hypotheses around GRNs driving their biological systems of interest.
The top 3 key questions that this resource can answer:
1. What signaling nodes regulate my gene set of interest?
2. What pathways are those signaling nodes regulating?
3. How do signaling nodes interact to regulate individual genes?
Dial-in Information: https://uchealth.zoom.us/webinar/register/WN_LVij_887TnyOXYBJHEgQRw
Date/Time: Friday, November 20, 2026, 11 am - 12 pm PT
About
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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