Sequence progressive alignment, a framework for practical large-scale probabilistic consistency alignment | Zendy

Benedict Paten | Zendy; Javier Herrero | Zendy; Kathryn Beal | Zendy; Ewan Birney | Zendy

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Sequence progressive alignment, a framework for practical large-scale probabilistic consistency alignment

Author(s) -

Benedict Paten,

Javier Herrero,

Kathryn Beal,

Ewan Birney

Publication year - 2008

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/btn630

Subject(s) - alignment free sequence analysis , multiple sequence alignment , computer science , consistency (knowledge bases) , sequence alignment , sequence (biology) , ensembl , probabilistic logic , smith–waterman algorithm , comparative genomics , set (abstract data type) , scale (ratio) , genomics , genome browser , process (computing) , genome , computational biology , biology , artificial intelligence , genetics , peptide sequence , programming language , gene , physics , quantum mechanics

Multiple sequence alignment is a cornerstone of comparative genomics. Much work has been done to improve methods for this task, particularly for the alignment of small sequences, and especially for amino acid sequences. However, less work has been done in making promising methods that work on the small-scale practically for the alignment of much larger genomic sequences.

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