Skip to main content
Kent Academic Repository

The automated function prediction SIG looks back at 2013 and prepares for 2014.

Wass, Mark N., Mooney, S. D., Linial, M., Radivojac, P., Friedberg, I. (2014) The automated function prediction SIG looks back at 2013 and prepares for 2014. Bioinformatics, 30 (14). pp. 2091-2092. ISSN 1367-4803. E-ISSN 1460-2059. (doi:10.1093/bioinformatics/btu117) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:42077)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1093/bioinformatics/btu117

Abstract

The mission of the Automated Function Prediction Special Interest Group (AFP-SIG) is to coalesce the community of computational biologists, experimental biologists and biocurators who are addressing the challenge of protein function prediction, thereby sharing ideas and creating collaborations. The AFP-SIG holds annual meetings alongside the Intelligent Systems for Molecular Biology, the leading conference of the International Society for Computational Biology. The AFP–SIG also runs the ongoing Critical Assessment of Functional Annotation (CAFA) challenge (Radivojac et al., 2013.

Item Type: Article
DOI/Identification number: 10.1093/bioinformatics/btu117
Subjects: Q Science > Q Science (General)
Divisions: Divisions > Division of Natural Sciences > Biosciences
Depositing User: Mark Wass
Date Deposited: 03 Aug 2014 11:23 UTC
Last Modified: 17 Aug 2022 10:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42077 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.