| Literature DB >> 12194990 |
Ewan Birney1, Michele Clamp, Tim Hubbard.
Abstract
To maximize the value of genome sequences they need to be integrated with other types of biological data and with each other. The entire collection of data then needs to be made available in a way that is easy to view and mine for complex relationships. The recently determined vertebrate genome sequences of human and mouse are so large that building the infrastructure to manage these datasets is a major challenge. This article reviews the database systems and tools for analysis that have so far been developed to address this.Entities:
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Year: 2002 PMID: 12194990 DOI: 10.1146/annurev.genom.3.030502.101529
Source DB: PubMed Journal: Annu Rev Genomics Hum Genet ISSN: 1527-8204 Impact factor: 8.929