Abstract Submission now open: Automated Function Prediction

(Please repost as appropriate; apologies for cross-posting and duplications).

An ISMB Special Interest Group Meeting: Automated Protein Function Prediction

Keynote speakers: Philip Bourne, National Institutes of Health, USA; Fiona Brinkman, Simon Fraser University, Canada; Mark Gerstein, Yale University, USA

Sequence and structure genomics have generated a wealth of data, but extracting meaningful information from genomic information is becoming an increasingly difficult challenge. Both the number and the diversity of discovered sequences are increasing, while the fraction of genes whose function is known is decreasing. In addition, there is a need for annotation which is standardized so that it could be incorporated into function annotation on a large scale. Finally, there is a need to assess the quality of the function prediction software which is out there. For these reasons and many more, automated protein function prediction is rapidly gaining interest among computational biologists in academia and industry.

The AFP SIG has been part of ISMB since 2005. We call upon all researchers involved in gene and protein function prediction to submit an abstract to the AFP meeting. Authors of select abstracts will be invited to give a talk and/or present a poster.

This year’s AFP meeting will also feature talks by creators of the best performing methods in the second Critical Assessment of Function Annotations or CAFA2 challenge.

Key dates:

April 18, 2014: Deadline for submitting abstracts.

May 9, 2014: Notifications for accepted abstracts e-mailed to corresponding authors

May 16, 2014: Deadline for presenters to confirm acceptance of invitation to speak.

July 11-12, 2014: AFP SIG preceding ISMB 2014

More information and to submit: http://biofunctionprediction.org/

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Author: Jonathan Eisen

I am an evolutionary biologist and a Professor at U. C. Davis. (see my lab site here). My research focuses on the origin of novelty (how new processes and functions originate). To study this I focus on sequencing and analyzing genomes of organisms, especially microbes and using phylogenomic analysis

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