Greedily building protein networks with confidence
Author(s) -
Joel S. Bader
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg358
Subject(s) - computer science , computational biology , proteomics , identification (biology) , budding yeast , throughput , protein–protein interaction , biological network , systems biology , biology , gene , saccharomyces cerevisiae , genetics , telecommunications , botany , wireless
With genome sequences complete for human and model organisms, it is essential to understand how individual genes and proteins are organized into biological networks. Much of the organization is revealed by proteomics experiments that now generate torrents of data. Extracting relevant complexes and pathways from high-throughput proteomics data sets has posed a challenge, however, and new methods to identify and extract networks are essential. We focus on the problem of building pathways starting from known proteins of interest.
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