Predicting biological networks from genomic data
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Continuing improvements in DNA sequencing technologies are providing us with vast amounts of genomic data from an ever-widening range of organisms. The resulting challenge for bioinformatics is to interpret this deluge of data and place it back into its biological context. Biological networks provide a conceptual framework with which we can describe part of this context, namely the different interactions that occur between the molecular components of a cell. Here, we review the computational methods available to predict biological networks from genomic sequence data and discuss how they relate to high-throughput experimental methods.
Originalsprog | Engelsk |
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Tidsskrift | F E B S Letters |
Vol/bind | 582 |
Udgave nummer | 8 |
Sider (fra-til) | 1251-8 |
Antal sider | 8 |
ISSN | 0014-5793 |
DOI | |
Status | Udgivet - 2008 |
ID: 40749019