Predicting biological networks from genomic data
Research output: Contribution to journal › Journal article › peer-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.
|Journal||F E B S Letters|
|Number of pages||8|
|Publication status||Published - 2008|
- Computational Biology, Genomics, Phylogeny