Hi everybody,
Next Wed, *Sept. 7th*, we will have *Nicholas J. Provart* from the University of Toronto talking about the tools recently developed by his lab and available at the Bio-Analytic http://bar.utoronto.ca/Resource http://bar.utoronto.ca for analyzing large plant data sets.
Below you can find more details about the webinar and the zoom link to attend the webinar.
We hope you will join us.
Best,
Annarita
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Presenters: Dr. Nicholas J. Provart, the University of Toronto
Host: Dr. Sunita Kumari
Abstract:
*Raising the BAR for Hypothesis Generation in Plant Biology Using Open Big Data.*
We have developed tools, available as part of the Bio-Analytic Resource at http://bar.utoronto.ca, for exploring large data sets from plants, to allow deeper insights into biological questions. My lab’s three visual analytic tools for transcriptomic data (eFP Browser, ePlant, and eFP-Seq Browser) allow for rapid access to comprehensive gene expression compendia we have curated for identifying tissues, cell-types, or perturbations in which a gene is active or alternatively spliced. Interactions, be they protein-protein or regulatory, create networks. We have developed new tools for exploring such data, either from large collections of experimentally-supported protein-protein or protein-DNA interactions or from predicted interactions, including protein-protein interactions inferred from molecular docking studies. We are currently working on integrating large-scale phenotype data from field trials monitored by drone-based sensors into ePlants we have developed for several agronomically-important species to improve understanding of links between genotype and phenotype.
*| 1P ET | 12P CT | 11A MT | 10A PT |* Find your local time here https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+monthly+webinar&iso=20220907T13&p1=43&ah=1
Topic: AgBioData Monthly Webinar Time: This is a recurring meeting Meet anytime
Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
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