- Abstract:
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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:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 791.5kb)
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- Publisher copy:
- 10.1186/1471-2105-13-117
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- Funding agency for:
- Kelly, S
- 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:
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1471-2105
- URN:
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uuid:7f95b8a5-b114-4265-b113-497177f3137d
- Source identifiers:
-
345626
- Local pid:
- pubs:345626
- Language:
- English
- Keywords:
- Copyright holder:
- Collingridge and Kelly
- Copyright date:
- 2012
- Notes:
- 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.
Journal article
MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.
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+ Biotechnology and Biological Sciences Research Council
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