Journal article
MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.
- 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 ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 791.5KB)
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- Publisher copy:
- 10.1186/1471-2105-13-117
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Authors
Funding
+ Biotechnology and Biological Sciences Research Council
More from this funder
Funding agency for:
Kelly, S
Grant:
BB/D020190/1
Biotechnology and Biological Sciences Research Council
More from this funder
Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- BMC bioinformatics Journal website
- Volume:
- 13
- Issue:
- 1
- Pages:
- 117
- Publication date:
- 2012-01-01
- DOI:
- EISSN:
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1471-2105
- ISSN:
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1471-2105
- Source identifiers:
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345626
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:345626
- UUID:
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uuid:7f95b8a5-b114-4265-b113-497177f3137d
- Local pid:
- pubs:345626
- Deposit date:
- 2013-03-20
Terms of use
- 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.
- Licence:
- CC Attribution (CC BY)
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