Assessing the functional structure of genomic data.

ABSTRACT:

Motivation

The availability of genome-scale data has enabled an abundance of novel analysis techniques for investigating a variety of systems-level biological relationships. As thousands of such datasets become available, they provide an opportunity to study high-level associations between cellular pathways and processes. This also allows the exploration of shared functional enrichments between diverse biological datasets, and it serves to direct experimenters to areas of low data coverage or with high probability of new discoveries.

Results

We analyze the functional structure of Saccharomyces cerevisiae datasets from over 950 publications in the context of over 140 biological processes. This includes a coverage analysis of biological processes given current high-throughput

SUBMITTER: Huttenhower C 

PROVIDER: S-EPMC2718638 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature