Scaling statistical multiple sequence alignment to large datasets

Scaling statistical multiple sequence alignment to large datasets

Abstract Background Multiple sequence alignment is an important task in bioinformatics, and alignments of large datasets containing hundreds or thousands of sequences are increasingly of interest. While many alignment methods exist, the most accurate alignments are likely to be based on stochastic m...

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Bibliographic Details
Main Authors: Michael Nute, Tandy Warnow
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Genomics
Subjects:
Multiple sequence alignment
Boosting
MCMC
Online Access:http://link.springer.com/article/10.1186/s12864-016-3101-8

Internet

http://link.springer.com/article/10.1186/s12864-016-3101-8

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