A singular value decomposition approach for improved taxonomic classification of biological sequences.

ABSTRACT:

Background

Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima facie related. SVD was initially developed to reduce the time needed for information retrieval and analysis of very large data sets in the complex internet environment. Since information retrieval from large-scale genome and proteome data sets has a similar level of complexity, SVD-based methods could also facilitate data analysis in this research area.

Results

We found that SVD applied to amino acid sequences demonstrates relationships and provides a basis for producing clusters and cladograms, demonstrating evolutionary relatedness of species that correlates well with Linnaean taxonomy. The choice of a reasonabl

SUBMITTER: Santos AR 

PROVIDER: S-EPMC3287580 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature