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Aligning short reads to reference alignments and trees.
Berger, Simon A; Stamatakis, Alexandros.
Affiliation
  • Berger SA; The Exelixis Lab, Scientific Computing Group, Heidelberg Institute for Theoretical Studies, D-69118 Heidelberg, Germany. simon.berger@h-its.org
Bioinformatics ; 27(15): 2068-75, 2011 Aug 01.
Article in En | MEDLINE | ID: mdl-21636595
MOTIVATION: Likelihood-based methods for placing short read sequences from metagenomic samples into reference phylogenies have been recently introduced. At present, it is unclear how to align those reads with respect to the reference alignment that was deployed to infer the reference phylogeny. Moreover, the adaptability of such alignment methods with respect to the underlying reference alignment strategies/philosophies has not been explored. It has also not been assessed if the reference phylogeny can be deployed in conjunction with the reference alignment to improve alignment accuracy in this context. RESULTS: We assess different strategies for short read alignment and propose a novel phylogeny-aware alignment procedure. Our alignment method can improve the accuracy of subsequent phylogenetic placement of the reads into a reference phylogeny by up to 5.8 times compared with phylogeny-agnostic methods. It can be deployed to align reads to alignments generated by using fundamentally different alignment strategies (e.g. PRANK(+F) versus MUSCLE). AVAILABILITY: http://www.exelixis-lab.org/software.html
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / Software / Sequence Alignment Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2011 Document type: Article Affiliation country: Germany Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / Software / Sequence Alignment Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2011 Document type: Article Affiliation country: Germany Country of publication: United kingdom