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MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.

Abstract:

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 ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1186/1471-2105-13-117

Authors


Collingridge, PW More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Pathology Dunn School
Biotechnology and Biological Sciences Research Council More from this funder
Publisher:
BioMed Central Ltd. Publisher's website
Journal:
BMC bioinformatics Journal website
Volume:
13
Issue:
1
Pages:
117
Publication date:
2012
DOI:
EISSN:
1471-2105
ISSN:
1471-2105
URN:
uuid:7f95b8a5-b114-4265-b113-497177f3137d
Source identifiers:
345626
Local pid:
pubs:345626

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