This is a gentle reminder of *tomorrow's *webinar (*Sept. 7th*) with *Nicholas J. Provart* from the University of Toronto. He will talk about the visual analytic tools for transcriptomic and genomics data (e.g., *ePlant*) developed by his lab and available at the Bio-Analytic http://bar.utoronto.ca/ Resource http://bar.utoronto.ca/.
Below you can find more details about the webinar and the zoom link to attend the webinar.
We hope you will join us.
Presenters: Dr. Nicholas J. Provart, the University of Toronto
Host: Dr. Sunita Kumari
*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
Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar Time: This is a recurring meeting Meet anytime
Meeting ID: 820 3835 6125 Passcode: 160683 One tap mobile +13017158592,,82038356125#,,,,*160683# US (Washington DC) +13092053325,,82038356125#,,,,*160683# US
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