ERRATA CORRIGE!
*Please use the ZOOM link below for tomorrow's webinar. *Sorry for the mistake!!
Topic: AgBioData Monthly Webinar Time: This is a recurring meeting Meet anytime
Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09
Meeting ID: 820 3835 6125 Passcode: 160683
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Meeting ID: 820 3835 6125 Passcode: 160683
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On Tue, Feb 6, 2024 at 2:17 PM Annarita Marrano amarrano@arabidopsis.org wrote:
Hi everybody,
This is a friendly reminder of our monthly webinar *tomorrow, Feb. 7th, at 12 PM CT*. Alex Ignatchenko and Paul Thomas will talk about TreeGrafter, a method of predicting Gene Ontology annotations, and other tools implemented in InterProScan.
I have included below more details about the webinar and the Zoom link to attend the webinar.
I hope you will join us.
Best,
Annarita
:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:
*Abstracts:* *Alex Ignatchenko (EMBL-EBI):* Gene Ontology (GO) Annotation (GOA) project at EMBL-EBI aims to provide high-quality GO annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. Currently, the GOA database hosts 5 million manually curated GO annotations from over 70 research groups. This set is used as a foundation for 15 automatic GO annotation pipelines. The output data re-generated ever 2 month and commonly referred to as Inferred from Electronic Annotation (IEA). The IEA pipelines use range of statistical, rule-based and machine learning algorithms to enrich existing GO annotation coverage. The generated IEA set of over 1.1 billion GO annotations is subject to over 130 checks, constraints and filters to ensure the quality of predicted GO annotations. The GOA data is publicly available from GOA ftp and the GO annotation browser QuickGO. The GOA team is constantly looking for ways to improve the quality of GO annotations and gene product coverage. The TreeGrafter is a method of prediction of GO annotations based on PANTHER family/subfamily and the InterPro signatures. The project is a collaboration between PANTHER and the InterPro team at EMBL-EBI. The algorithm was published in 2019, and it was incorporated into the InterPro in the second half of 2023. The TreeGrafter mappings were processed and added to the GOA database for testing shortly after. This implementation resulted in about 301 million GO annotations after the GOA pipeline checks and filters. More importantly, the final set has over 200 million GO annotations, which is not predicted by any other IEA methods. The GOA team plans to intergrade TreeGrafter GO annotation pipeline into the GOA database and release it to public in a first half of 2024.
*Paul D. Thomas (University of Southern California and Gene Ontology Consortium)Accurate annotation of protein sequences at large scale, using evolutionary modeling* Inferring (aka “annotating” or “predicting”) the functions of the vast numbers of known protein sequences has been a longstanding challenge in genomics. Over the last decade, a comprehensive system has been developed for addressing this challenge based on constructing and applying models of function evolution in protein families. The main components of the system– including PANTHER phylogenetic trees, Gene Ontology phylogenetic annotations and TreeGrafter software (now implemented in InterProScan)– work together in an integrated software and data suite that is now beginning to be broadly used to annotate the functions of protein-coding genes. I will describe each of these components, as well as how the tool can be easily used to annotate any set of protein-coding genes and how users can give feedback to help improve the annotations.
*| 1P ET | 12P CT | 11A MT | 10A PT |*
Find your local time here https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Monthly+Webinar+-+Alex+Ignatchenko+and+Paul+Thomas&iso=20240207T13&p1=43&ah=1
Topic: AgBioData - SC bi-weekly meeting Time: This is a recurring meeting Meet anytime
Join Zoom Meeting https://us06web.zoom.us/j/83731466263?pwd=Q2ZZbHB2UEcrRHAvNzZxV3BRRlBuUT09
Meeting ID: 837 3146 6263 Passcode: 827841
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Meeting ID: 837 3146 6263 Passcode: 827841
Find your local number: https://us06web.zoom.us/u/kekUSg0LV1