PSAR-Align: Improving multiple sequence alignment using probabilistic sampling

Jaebum Kim; Jian Ma

doi:10.1093/bioinformatics/btt636

PSAR-Align: Improving multiple sequence alignment using probabilistic sampling

Jaebum Kim, Jian Ma

Bioengineering

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: We developed PSAR-Align, a multiple sequence realignment tool that can refine a given multiple sequence alignment based on suboptimal alignments generated by probabilistic sampling. Our evaluation demonstrated that PSAR-Align is able to improve the results from various multiple sequence alignment tools.

Original language	English (US)
Pages (from-to)	1010-1012
Number of pages	3
Journal	Bioinformatics
Volume	30
Issue number	7
DOIs	https://doi.org/10.1093/bioinformatics/btt636
State	Published - Apr 1 2014

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btt636

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title = "PSAR-Align: Improving multiple sequence alignment using probabilistic sampling",

abstract = "Summary: We developed PSAR-Align, a multiple sequence realignment tool that can refine a given multiple sequence alignment based on suboptimal alignments generated by probabilistic sampling. Our evaluation demonstrated that PSAR-Align is able to improve the results from various multiple sequence alignment tools.",

author = "Jaebum Kim and Jian Ma",

note = "Funding Information: Funding: National Research Foundation of Korea Grant (2012R1A1A1015186 to J.K.) and National Institutes of Health grant (HG006464 to J.M.).",

year = "2014",

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doi = "10.1093/bioinformatics/btt636",

language = "English (US)",

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AU - Ma, Jian

N1 - Funding Information: Funding: National Research Foundation of Korea Grant (2012R1A1A1015186 to J.K.) and National Institutes of Health grant (HG006464 to J.M.).

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Y1 - 2014/4/1

N2 - Summary: We developed PSAR-Align, a multiple sequence realignment tool that can refine a given multiple sequence alignment based on suboptimal alignments generated by probabilistic sampling. Our evaluation demonstrated that PSAR-Align is able to improve the results from various multiple sequence alignment tools.

AB - Summary: We developed PSAR-Align, a multiple sequence realignment tool that can refine a given multiple sequence alignment based on suboptimal alignments generated by probabilistic sampling. Our evaluation demonstrated that PSAR-Align is able to improve the results from various multiple sequence alignment tools.

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PSAR-Align: Improving multiple sequence alignment using probabilistic sampling

Abstract

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