Literature DB >> 26615024

Multiple sequence alignment modeling: methods and applications.

Maria Chatzou, Cedrik Magis, Jia-Ming Chang, Carsten Kemena, Giovanni Bussotti, Ionas Erb, Cedric Notredame.   

Abstract

This review provides an overview on the development of Multiple sequence alignment (MSA) methods and their main applications. It is focused on progress made over the past decade. The three first sections review recent algorithmic developments for protein, RNA/DNA and genomic alignments. The fourth section deals with benchmarks and explores the relationship between empirical and simulated data, along with the impact on method developments. The last part of the review gives an overview on available MSA local reliability estimators and their dependence on various algorithmic properties of available methods.
© The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Keywords:  DNA alignments; RNA alignments; alignment benchmarks; alignment reliability measures; multiple sequence alignments; protein alignments

Mesh:

Substances:

Year:  2015        PMID: 26615024     DOI: 10.1093/bib/bbv099

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  40 in total

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9.  Incorporating alignment uncertainty into Felsenstein's phylogenetic bootstrap to improve its reliability.

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