Automatic assessment of alignment quality.

Abstract:

:Multiple sequence alignments play a central role in the annotation of novel genomes. Given the biological and computational complexity of this task, the automatic generation of high-quality alignments remains challenging. Since multiple alignments are usually employed at the very start of data analysis pipelines, it is crucial to ensure high alignment quality. We describe a simple, yet elegant, solution to assess the biological accuracy of alignments automatically. Our approach is based on the comparison of several alignments of the same sequences. We introduce two functions to compare alignments: the average overlap score and the multiple overlap score. The former identifies difficult alignment cases by expressing the similarity among several alignments, while the latter estimates the biological correctness of individual alignments. We implemented both functions in the MUMSA program and demonstrate the overall robustness and accuracy of both functions on three large benchmark sets.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Lassmann T,Sonnhammer EL

doi

10.1093/nar/gki1020

keywords:

subject

Has Abstract

pub_date

2005-12-16 00:00:00

pages

7120-8

issue

22

eissn

0305-1048

issn

1362-4962

pii

33/22/7120

journal_volume

33

pub_type

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