Multiple sequence alignment using partial order graphs | Zendy

Christopher Lee | Zendy; Catherine S. Grasso | Zendy; Mark Sharlow | Zendy

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Multiple sequence alignment using partial order graphs

Author(s) -

Christopher Lee,

Catherine S. Grasso,

Mark Sharlow

Publication year - 2002

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/18.3.452

Subject(s) - multiple sequence alignment , pentium , sequence alignment , computer science , dynamic programming , pairwise comparison , sequence (biology) , algorithm , rna splicing , representation (politics) , alignment free sequence analysis , structural alignment , theoretical computer science , artificial intelligence , biology , genetics , peptide sequence , parallel computing , rna , politics , gene , political science , law

Progressive Multiple Sequence Alignment (MSA) methods depend on reducing an MSA to a linear profile for each alignment step. However, this leads to loss of information needed for accurate alignment, and gap scoring artifacts.

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