Hi everybody,
Next Wed, *October 5th*, we will have *Chris Mungall
<https://bids.berkeley.edu/people/chris-mungall>* from the Lawrence
Berkeley National Laboratory talking about Gene Ontology
<http://geneontology.org/> and how to use it for functional annotation of
plants and animals.
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
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
Presenters: Dr. Chris Mungall, Lawrence Berkeley National Laboratory
Host: Dr. Tanya Berardini
Abstract:
*The Gene Ontology: Making functional annotation of plants and animals
FAIR.*
The Gene Ontology is one of the most widely used databases in the
biosciences, covering functional annotation of genes and gene products
across a wide range of species. The GO is ubiquitously used to analyse a
variety of types of high-throughput experimental data. Originally created
to unify functional annotation across a handful of model organism
databases, the GO has grown to encompass more species, and the structure of
the GO has been extended to integrate with other ontologies such as CHEBI
and the Plant Ontology. The structure of annotations has also evolved, and
the GO now includes more expressive pathway-oriented annotations in the
form of GO-CAMs (Causal Activity Models). In this talk I will give a
practical guide to the structure of GO, how to find and request terms, how
to search and create annotations, and how to use GO tools. I will also talk
about how the broader AgBioData can contribute to the GO consortium to help
seed functional annotation efforts in a more diverse range of organisms,
and in particular with agriculturally relevant species.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
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Dear AgBioData community members,
The next Agricultural Genome to Phenome Initiative (AG2PI) Field Day is on Wednesday, September 21 from 10:30 AM to 12:00 PM (Central Time, UTC-5).
In this field day, we will hear from a selection of seed grant recipients regarding the work they are doing to further develop the AG2PI community and advance AG2P science and technology. Talks have been pre-recorded and are in a three-minute thesis format so we can hear from eight project principal investigators in total. Each talk will be played and followed by an open Q&A session.
Please note: these talks were recorded during the AG2PI "Thinking Big: Visualizing the Future of AG2PI" conference, which was co-hosted by USDA NIFA. Other recordings from this event are available on the AG2PI website at https://www.ag2pi.org/workshops-and-activities/conference-2022-09-09/.
We invite you to register for this Zoom event at https://www.ag2pi.org/workshops-and-activities/field-day-2022-09-21/, where you will also find additional information. Upon registration, you will receive a confirmation email with information about joining the meeting. If you are unable to attend the live session, then you will be able to find a recording at ag2pi.org/<https://www.ag2pi.org/>, at a later date. You do not need to register to view the recording; it is readily available on the AG2PI website soon after the close of the event (generally within 24 hours).
Kind regards,
Nicole
------------------------
Nicole Scott, PhD
Program Specialist
Agricultural Genome to Phenome Initiative
Iowa State University
1111 WOI Rd
Ames, IA 50011
office: 1077 Roy J. Carver Co-Lab
phone: 515-294-3945
ag2pi.org<https://www.ag2pi.org/>
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Hi everybody,
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.
Best,
Annarita
-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
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 |*
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Annarita Marrano is inviting you to a scheduled Zoom meeting.
Topic: AgBioData Monthly Webinar
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Meeting ID: 820 3835 6125
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