A statistical score for assessing the quality of multiple sequence alignments.

ABSTRACT:

Background

Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein structures, building phylogenetic trees etc. Although the automatic construction of a multiple sequence alignment for a set of remotely related sequences cause a very challenging and error-prone task, many downstream analyses still rely heavily on the accuracy of the alignments.

Results

To address the need for an objective evaluation framework, we introduce a statistical score that assesses the quality of a given multiple sequence alignment. The quality assessment is based on counting the number of significantly conserved positions in the alignment using importance sampling method in conjunction wit

SUBMITTER: Ahola V 

PROVIDER: S-EPMC1687212 | biostudies-literature | 2006 Nov

REPOSITORIES: biostudies-literature