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AIC Seminar Series

Research in the Bioinformatics Research Group

Peter D KarpArtificial Intelligence Center

Date:  Thursday, March 9th 2017 at 4:00pm

Location:  EK255 (SRI E building)  (Directions)

Webex: 

WebEx recording (SRI WebEx access required):

https://sri-meetings.webex.com/sri-meetings/ldr.php?RCID=565b6d77578b68d5f3af33d21424c0e3

Slides (SRI access required):
https://wiki.sri.com/download/attachments/4919820/Peter%20Karp%20March%202017.pptx?version=1&modificationDate=1491241364413&api=v2
   Abstract

This talk will begin with an overview of the research in the SRI Bioinformatics research group, including the development of our BioCyc database collection (a collection of databases for 9,300 sequenced bacteria) and Pathway Tools software. Pathway Tools includes inference modules for inferring the metabolic pathways of an organism, and for searching for routes within a metabolic network. It includes extensive visualization tools for individual metabolic pathways, for complete metabolic networks, and for complete regulatory networks.

Next the talk will cover some of our recent research, including developing improved computational methods for developing metabolic models, and developing metabolic models for multiple organisms within the human microbiome project. The talk will also cover our ongoing transition of the BioCyc project to being funded via a subscription model.

   Bio for Peter D Karp

Honors and Awards

Research Interests

Dr. Karp’s research interests include metabolic-pathway bioinformatics, systems biology, and metabolic engineering. He is the bioinformatics architect of the BioCyc collection of Pathway/Genome Databases that includes EcoCyc, HumanCyc, and MetaCyc. He has developed algorithms for prediction of metabolic pathways from sequenced genomes, for visualization of individual pathways and entire metabolic maps, and for generation of metabolic models from pathway databases. He is interested in extending these modeling techniques from individual organisms to communities of interacting microorganisms. His interests also include biological databases and ontologies, and interoperation of bioinformatics databases.

   Note for Visitors to SRI

Please arrive at least 10 minutes early as you will need to sign in by following instructions by the lobby phone at Building E (or call Wilma Lenz at 650 859 4904, or Vicenta at Lopez at 650 859 5750). SRI is located at 333 Ravenswood Avenue in Menlo Park. Visitors may park in the parking lots off Fourth Street. Detailed directions to SRI, as well as maps, are available from the Visiting AIC web page. There are two entrances to SRI International located on Ravenswood Ave. Please check the Building E entrance signage.

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