Literature DB >> 15963889

Multiple sequence alignments.

Iain M Wallace1, Gordon Blackshields, Desmond G Higgins.   

Abstract

Multiple sequence alignments are very widely used in all areas of DNA and protein sequence analysis. The main methods that are still in use are based on 'progressive alignment' and date from the mid to late 1980s. Recently, some dramatic improvements have been made to the methodology with respect either to speed and capacity to deal with large numbers of sequences or to accuracy. There have also been some practical advances concerning how to combine three-dimensional structural information with primary sequences to give more accurate alignments, when structures are available.

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Year:  2005        PMID: 15963889     DOI: 10.1016/j.sbi.2005.04.002

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


  20 in total

1.  Whole genome analysis of more than 10 000 SARS-CoV-2 virus unveils global genetic diversity and target region of NSP6.

Authors:  Indrajit Saha; Nimisha Ghosh; Ayan Pradhan; Nikhil Sharma; Debasree Maity; Kaushik Mitra
Journal:  Brief Bioinform       Date:  2021-03-22       Impact factor: 11.622

2.  On the accuracy of homology modeling and sequence alignment methods applied to membrane proteins.

Authors:  Lucy R Forrest; Christopher L Tang; Barry Honig
Journal:  Biophys J       Date:  2006-04-28       Impact factor: 4.033

Review 3.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

4.  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

5.  Coverage of whole proteome by structural genomics observed through protein homology modeling database.

Authors:  Kei Yura; Akihiro Yamaguchi; Mitiko Go
Journal:  J Struct Funct Genomics       Date:  2006-12-05

6.  Metagenomic study of red biofilms from Diamante Lake reveals ancient arsenic bioenergetics in haloarchaea.

Authors:  Nicolás Rascovan; Javier Maldonado; Martín P Vazquez; María Eugenia Farías
Journal:  ISME J       Date:  2015-07-03       Impact factor: 10.302

7.  Genome-wide analysis of Indian SARS-CoV-2 genomes for the identification of genetic mutation and SNP.

Authors:  Indrajit Saha; Nimisha Ghosh; Debasree Maity; Nikhil Sharma; Jnanendra Prasad Sarkar; Kaushik Mitra
Journal:  Infect Genet Evol       Date:  2020-07-11       Impact factor: 3.342

Review 8.  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

Review 9.  The rough guide to in silico function prediction, or how to use sequence and structure information to predict protein function.

Authors:  Marco Punta; Yanay Ofran
Journal:  PLoS Comput Biol       Date:  2008-10-31       Impact factor: 4.475

10.  M-Coffee: combining multiple sequence alignment methods with T-Coffee.

Authors:  Iain M Wallace; Orla O'Sullivan; Desmond G Higgins; Cedric Notredame
Journal:  Nucleic Acids Res       Date:  2006-03-23       Impact factor: 16.971

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