The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Aligning short reads to reference alignments and trees
Open accessAbstract
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 Contact: simon.berger@h-its.org; alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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Cites
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
Self-citationYang, Z. (1994) · Journal of Molecular Evolution · doi:10.1007/bf00160154 · Cited by 2,960
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Metadata
- Authors
- Berger, S. A., & Stamatakis, A.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-06-02
- Volume
- 27
- Issue
- 15
- Pages
- 2068-2075
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2141380436
- Cited by
- 190
- References
- 2
- FWCI
- 5.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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