MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.
BACKGROUND: The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research. We present a novel method called MergeAlign which constructs consensus MSAs from multiple independent MSAs and assigns an alignment precision score to each column. RESULTS: Using conventional benchmark tests we demonstrate that on average MergeAlign MSAs ...Expand abstract
- Publication status:
- Peer review status:
- Peer reviewed
- Copyright holder:
- Collingridge and Kelly
- Copyright date:
- Copyright 2012 Collingridge and Kelly; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- CC Attribution (CC BY)
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