Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae.

ABSTRACT:

Background

The study of complex biological networks and prediction of gene function has been enabled by high-throughput (HTP) methods for detection of genetic and protein interactions. Sparse coverage in HTP datasets may, however, distort network properties and confound predictions. Although a vast number of well substantiated interactions are recorded in the scientific literature, these data have not yet been distilled into networks that enable system-level inference.

Results

We describe here a comprehensive database of genetic and protein interactions, and associated experimental evidence, for the budding yeast Saccharomyces cerevisiae, as manually curated from over 31,793 abstracts and online publications. This literature-curated (LC) dataset contains 33,311 interactions,

SUBMITTER: Reguly T 

PROVIDER: S-EPMC1561585 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature