Literature DB >> 16679011

Multiple sequence alignment.

Robert C Edgar1, Serafim Batzoglou.   

Abstract

Multiple sequence alignments are an essential tool for protein structure and function prediction, phylogeny inference and other common tasks in sequence analysis. Recently developed systems have advanced the state of the art with respect to accuracy, ability to scale to thousands of proteins and flexibility in comparing proteins that do not share the same domain architecture. New multiple alignment benchmark databases include PREFAB, SABMARK, OXBENCH and IRMBASE. Although CLUSTALW is still the most popular alignment tool to date, recent methods offer significantly better alignment quality and, in some cases, reduced computational cost.

Mesh:

Year:  2006        PMID: 16679011     DOI: 10.1016/j.sbi.2006.04.004

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  90 in total

1.  Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures.

Authors:  Jean-Francois Taly; Cedrik Magis; Giovanni Bussotti; Jia-Ming Chang; Paolo Di Tommaso; Ionas Erb; Jose Espinosa-Carrasco; Carsten Kemena; Cedric Notredame
Journal:  Nat Protoc       Date:  2011-11       Impact factor: 13.491

2.  PAPNC, a novel method to calculate nucleotide diversity from large scale next generation sequencing data.

Authors:  Wei Shao; Mary F Kearney; Valerie F Boltz; Jonathan E Spindler; John W Mellors; Frank Maldarelli; John M Coffin
Journal:  J Virol Methods       Date:  2014-03-26       Impact factor: 2.014

3.  Uncertainty in homology inferences: assessing and improving genomic sequence alignment.

Authors:  Gerton Lunter; Andrea Rocco; Naila Mimouni; Andreas Heger; Alexandre Caldeira; Jotun Hein
Journal:  Genome Res       Date:  2007-12-11       Impact factor: 9.043

4.  Biclustering as a method for RNA local multiple sequence alignment.

Authors:  Shu Wang; Robin R Gutell; Daniel P Miranker
Journal:  Bioinformatics       Date:  2007-10-06       Impact factor: 6.937

5.  PROMALS3D: multiple protein sequence alignment enhanced with evolutionary and three-dimensional structural information.

Authors:  Jimin Pei; Nick V Grishin
Journal:  Methods Mol Biol       Date:  2014

Review 6.  Visualization of multiple alignments, phylogenies and gene family evolution.

Authors:  James B Procter; Julie Thompson; Ivica Letunic; Chris Creevey; Fabrice Jossinet; Geoffrey J Barton
Journal:  Nat Methods       Date:  2010-03       Impact factor: 28.547

7.  Identifying and seeing beyond multiple sequence alignment errors using intra-molecular protein covariation.

Authors:  Russell J Dickson; Lindi M Wahl; Andrew D Fernandes; Gregory B Gloor
Journal:  PLoS One       Date:  2010-06-28       Impact factor: 3.240

Review 8.  Folding by numbers: primary sequence statistics and their use in studying protein folding.

Authors:  Brent Wathen; Zongchao Jia
Journal:  Int J Mol Sci       Date:  2009-04-08       Impact factor: 6.208

Review 9.  Upcoming challenges for multiple sequence alignment methods in the high-throughput era.

Authors:  Carsten Kemena; Cedric Notredame
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

10.  Analysis of nucleoside-binding proteins by ligand-specific elution from dye resin: application to Mycobacterium tuberculosis aldehyde dehydrogenases.

Authors:  Chang-Yub Kim; Cecelia Webster; Justin K M Roberts; Jin Ho Moon; Emily Z Alipio Lyon; Heungbok Kim; Minmin Yu; Li-Wei Hung; Thomas C Terwilliger
Journal:  J Struct Funct Genomics       Date:  2009-11-13
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