PhyLAT: a phylogenetic local alignment tool
Open Access
- 6 April 2012
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 28 (10) , 1336-1344
- https://doi.org/10.1093/bioinformatics/bts158
Abstract
Motivation: The expansion of DNA sequencing capacity has enabled the sequencing of whole genomes from a number of related species. These genomes can be combined in a multiple alignment that provides useful information about the evolutionary history at each genomic locus. One area in which evolutionary information can productively be exploited is in aligning a new sequence to a database of existing, aligned genomes. However, existing high-throughput alignment tools are not designed to work effectively with multiple genome alignments. Results: We introduce PhyLAT, the phylogenetic local alignment tool, to compute local alignments of a query sequence against a fixed multiple-genome alignment of closely related species. PhyLAT uses a known phylogenetic tree on the species in the multiple alignment to improve the quality of its computed alignments while also estimating the placement of the query on this tree. It combines a probabilistic approach to alignment with seeding and expansion heuristics to accelerate discovery of significant alignments. We provide evidence, using alignments of human chromosome 22 against a five-species alignment from the UCSC Genome Browser database, that PhyLAT's alignments are more accurate than those of other commonly used programs, including BLAST, POY, MAFFT, MUSCLE and CLUSTAL. PhyLAT also identifies more alignments in coding DNA than does pairwise alignment alone. Finally, our tool determines the evolutionary relationship of query sequences to the database more accurately than do POY, RAxML, EPA or pplacer. Availability:www.cse.wustl.edu/~htsun/phylat Contact:sunhongtao@wustl.edu Supplementary information: Supplementary data are available at Bioinformatics online.Keywords
This publication has 51 references indexed in Scilit:
- Performance, Accuracy, and Web Server for Evolutionary Placement of Short Sequence Reads under Maximum LikelihoodSystematic Biology, 2011
- The UCSC Genome Browser database: update 2010Nucleic Acids Research, 2009
- RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed modelsBioinformatics, 2006
- MUSCLE: multiple sequence alignment with high accuracy and high throughputNucleic Acids Research, 2004
- T-coffee: a novel method for fast and accurate multiple sequence alignment 1 1Edited by J. ThorntonJournal of Molecular Biology, 2000
- The Protein Data BankNucleic Acids Research, 2000
- Gene Trees in Species TreesSystematic Biology, 1997
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programsNucleic Acids Research, 1997
- Maximum Discrimination Hidden Markov Models of Sequence ConsensusJournal of Computational Biology, 1995
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choiceNucleic Acids Research, 1994