Making automated multiple alignments of very large numbers of protein sequences | Zendy

Fabian Sievers | Zendy; David Dineen | Zendy; Andreas Wilm | Zendy; Desmond G. Higgins | Zendy

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Making automated multiple alignments of very large numbers of protein sequences

Author(s) -

Fabian Sievers,

David Dineen,

Andreas Wilm,

Desmond G. Higgins

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt093

Subject(s) - multiple sequence alignment , computer science , benchmark (surveying) , sequence alignment , scalability , software , alignment free sequence analysis , data mining , sequence (biology) , complement (music) , structural alignment , selection (genetic algorithm) , algorithm , artificial intelligence , biology , peptide sequence , database , genetics , phenotype , geodesy , complementation , gene , programming language , geography

Recent developments in sequence alignment software have made possible multiple sequence alignments (MSAs) of >100 000 sequences in reasonable times. At present, there are no systematic analyses concerning the scalability of the alignment quality as the number of aligned sequences is increased.

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