Calling all papers for the Automated Function Prediction series

Editors: Mark Wass (University of Kent, UK), Iddo Friedberg (Miami University, Oxford, Ohio, USA), Predrag Radivojac (Indiana University, Bloomington, Indiana, USA)

Last July, GigaScience and the organisers of the Automated Function Prediction special interest group at ISMB announced an upcoming series on Automated Function Prediction. This is a thematic series of research from the meeting and beyond highlighting (but not limited to) function prediction using sequence-based methods, function from genomic information, molecular interactions, structure, use of combined methods, and phylogeny-based methods. Check out our write-up covering some of the talks at the meeting.

As announced at the meeting, the second round of the critical assessment of functional annotation (CAFA2) is currently taking place. The aim of CAFA is to assess the performance of state of the art methods for protein function prediction. Full details of the assessment can be found at, and the deadline for predictions is January 15, 2014 (see also this posting from Jonathan Eisen).

The GigaScience journal hopes that this series can be a forum of discussion that can help further the AFP-SIG’s mission, as well as revolutionise data dissemination, organisation, understanding, use and promote further collaboration amongst computational biologists crossing many different data domains. Edited by Mark Wass, Iddo Friedberg, Predrag Radivojac and the GigaScience team, and while they are finalizing the list of submissions coming from AFP 2013, there is still time to submit and the series will remain open for related submissions outside of this years meeting as the work on the important problem of gene and gene product function prediction continues.

Don’t forget, the BGI is generously covering the open-access article-processing charges for the series, as well as all submissions until January 2014, so please contact us at if you have related work you would like to submit to this series or journal, or submit a manuscript here.