Detecting genomic regions associated with a disease using variability functions and Adjusted Rand Index.

ABSTRACT:

Background

The identification of functional regions contained in a given multiple sequence alignment constitutes one of the major challenges of comparative genomics. Several studies have focused on the identification of conserved regions and motifs. However, most of existing methods ignore the relationship between the functional genomic regions and the external evidence associated with the considered group of species (e.g., carcinogenicity of Human Papilloma Virus). In the past, we have proposed a method that takes into account the prior knowledge on an external evidence (e.g., carcinogenicity or invasivity of the considered organisms) and identifies genomic regions related to a specific disease.

Results and conclusion

We present a new algorithm for detecting genomic regions

SUBMITTER: Badescu D 

PROVIDER: S-EPMC3271671 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature