Multiple sequence alignment using partial order graphs

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Multiple sequence alignment using partial order graphs

MOTIVATION 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. RESULTS We present a graph representation of an MSA that can itself be aligned directly by pairwise dynamic programming, eliminating the need to reduce the MS...

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Combining partial order alignment and progressive multiple sequence alignment increases alignment speed and scalability to very large alignment problems

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2002

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/18.3.452