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Genomic data are growing, but what do we really know?
Date:3/20/2013

it", said Friedberg, who since 2005 has been organizing Automated Function Prediction (AFP) meetings internationally. This, despite the competitive environment in which research groups want their methods to perform better than their peers' methods. Overall, throughout CAFA there was a highly collegial spirit, and a willingness to share information and science. "Everyone recognized that this is an important endeavor, and that only by a group effort can we move the field forward and learn to harness the deluge of genomic data, turning it into useful information."

"For the first time we have broad insight into what works, where improvement is needed, and how we should move the field forward. We will continue running CAFA in the future, as we are confident it will only help generate better methods to understand the information locked in our genomes, and those of other organisms," Friedberg said.

The initial analysis suggests that algorithms combining disparate prediction clues taken from different knowledge-bases provide more accurate predictions. The lead methods combined data from phylogenetic, gene-expression and protein-protein interaction data to provide predictions.


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Contact: Iddo Friedberg
friedbi@miamioh.edu
Miami University
Source:Eurekalert

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