Predicting biological networks from genomic data

Research output: Contribution to journalJournal articleResearchpeer-review

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.
Original languageEnglish
JournalF E B S Letters
Issue number8
Pages (from-to)1251-8
Number of pages8
Publication statusPublished - 2008

    Research areas

  • Computational Biology, Genomics, Phylogeny

ID: 40749019