Title
RE-MuSiC: a tool for multiple sequence alignment with regular expression constraints.
Abstract
RE-MuSiC is a web-based multiple sequence alignment tool that can incorporate biological knowledge about structure, function, or conserved patterns regarding the sequences of interest. It accepts amino acid or nucleic acid sequences and a set of constraints as inputs. The constraints are pattern descriptions, instead of exact positions of fragments to be aligned together. The output is an alignment where for each pattern (constraint), an occurrence on each sequence can be found aligned together with those on the other sequences, in a manner that the overall alignment is optimized. Its predecessor, MuSiC, has been found useful by researchers since its release in 2004. However, it is noticed in applications that the pattern formulation adopted in MuSiC, namely, plain strings allowing mismatches, is not expressive and flexible enough. The constraint formulation adopted in RE-MuSiC is therefore enhanced to be regular expressions, which is convenient in expressing many biologically significant patterns like those collected in the PROSITE database, or structural consensuses that often involve variable ranges between conserved parts. Experiments demonstrate that RE-MuSiC can be used to help predict important residues and locate phylogenetically conserved structural elements. RE-MuSiC is available on-line at http://140.113.239.131/RE-MUSIC.
Year
DOI
Venue
2007
10.1093/nar/gkm275
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
regular expression,amino acid,algorithm,amino acid sequence,sequence analysis,dna,conserved sequence,algorithms,internet,structure function,computational biology,proteins,sequence alignment,multiple sequence alignment
Sequence alignment,Regular expression,Conserved sequence,Structural alignment,Alignment-free sequence analysis,Biology,Algorithm,Bioinformatics,Genetics,Multiple sequence alignment,PROSITE,Sequence analysis
Journal
Volume
Issue
ISSN
35
SUPnan
0305-1048
Citations 
PageRank 
References 
13
0.67
20
Authors
4
Name
Order
Citations
PageRank
Yun-Sheng Chung1222.03
Wei-Hsun Lee218016.31
Chuan Yi Tang370479.25
Chin Lung Lu442334.59