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A novel method for multiple alignment of sequences with repeated and shuffled elements
Author(s) -
Benjamin J. Raphael,
Degui Zhi,
Haixu Tang,
Pavel A. Pevzner
Publication year - 2004
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.2657504
Subject(s) - multiple sequence alignment , biology , computational biology , sequence alignment , alignment free sequence analysis , structural alignment , de bruijn graph , de bruijn sequence , representation (politics) , graph , genetics , computer science , theoretical computer science , gene , combinatorics , peptide sequence , mathematics , political science , law , politics
We describe ABA (A-Bruijn alignment), a new method for multiple alignment of biological sequences. The major difference between ABA and existing multiple alignment methods is that ABA represents an alignment as a directed graph, possibly containing cycles. This representation provides more flexibility than does a traditional alignment matrix or the recently introduced partial order alignment (POA) graph by allowing a larger class of evolutionary relationships between the aligned sequences. Our graph representation is particularly well-suited to the alignment of protein sequences with shuffled and/or repeated domain structure, and allows one to construct multiple alignments of proteins containing (1) domains that are not present in all proteins, (2) domains that are present in different orders in different proteins, and (3) domains that are present in multiple copies in some proteins. In addition, ABA is useful in the alignment of genomic sequences that contain duplications and inversions. We provide several examples illustrating the applications of ABA.

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