Combining partial order alignment and progressive multiple sequence alignment increases alignment speed and scalability to very large alignment problems
نویسندگان
چکیده
منابع مشابه
Combining partial order alignment and progressive multiple sequence alignment increases alignment speed and scalability to very large alignment problems
MOTIVATION Partial order alignment (POA) has been proposed as a new approach to multiple sequence alignment (MSA), which can be combined with existing methods such as progressive alignment. This is important for addressing problems both in the original version of POA (such as order sensitivity) and in standard progressive alignment programs (such as information loss in complex alignments, espec...
متن کاملMultiple 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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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2004
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bth126