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Efficient representation of uncertainty in multiple sequence alignments using directed acyclic graphs

Abstract:
Background A standard procedure in many areas of bioinformatics is to use a single multiple sequence alignment (MSA) as the basis for various types of analysis. However, downstream results may be highly sensitive to the alignment used, and neglecting the uncertainty in the alignment can lead to significant bias in the resulting inference. In recent years, a number of approaches have been developed for probabilistic sampling of alignments, rather than simply generating a sing... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Doctoral Training Centre - MPLS
Role:
Author
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Department:
Statistics
Role:
Author
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Department:
Statistics
Role:
Author
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Publisher:
BioMed Central Publisher's website
Journal:
BMC Bioinformatics
Volume:
16
Publication date:
2015-04-01
Acceptance date:
2015-02-24
DOI:
EISSN:
1471-2105
ISSN:
1471-2105
Language:
English
Keywords:
UUID:
uuid:c70870df-cc33-4f09-bb4a-e37b0701deed
Deposit date:
2015-05-29

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