Feature context-dependency and complexity-reduction in probability landscapes for integrative genomics.

ABSTRACT:

Background

The question of how to integrate heterogeneous sources of biological information into a coherent framework that allows the gene regulatory code in eukaryotes to be systematically investigated is one of the major challenges faced by systems biology. Probability landscapes, which include as reference set the probabilistic representation of the genomic sequence, have been proposed as a possible approach to the systematic discovery and analysis of correlations amongst initially heterogeneous and un-relatable descriptions and genome-wide measurements. Much of the available experimental sequence and genome activity information is de facto, but not necessarily obviously, context dependent. Furthermore, the context dependency of the relevant information is itself dependent on th

SUBMITTER: Lesne A 

PROVIDER: S-EPMC2559821 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature