Bioinformatics · 2007 · 1.2K citations · 49 references
Life SciencesBioinformaticsBiologyProtein Structure PredictionSequence AnalysisStructural BioinformaticsPairwise AlignmentProtein Database SearchProtein Sequence AnalysisProtein StructureSequence AlignmentSequence Similarity SearchBiological Sequence AlignmentComputational Alignment AlgorithmsMultiple Protein AlignmentMultiple Sequence AlignmentProgressive AlignmentProtein Motif DiscoveryProtein Sequence AlignmentSequence Similarity
MOTIVATION: A tool that simultaneously aligns multiple protein sequences, automatically utilizes information about protein domains, and has a good compromise between speed and accuracy will have practical advantages over current tools. RESULTS: We describe COBALT, a constraint based alignment tool that implements a general framework for multiple alignment of protein sequences. COBALT finds a collection of pairwise constraints derived from database searches, sequence similarity and user input, combines these pairwise constraints, and then incorporates them into a progressive multiple alignment. We show that using constraints derived from the conserved domain database (CDD) and PROSITE protein-motif database improves COBALT's alignment quality. We also show that COBALT has reasonable runtime performance and alignment accuracy comparable to or exceeding that of other tools for a broad range of problems. AVAILABILITY: COBALT is included in the NCBI C++ toolkit. A Linux executable for COBALT, and CDD and PROSITE data used is available at: ftp://ftp.ncbi.nlm.nih.gov/pub/agarwala/cobalt
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Julie Thompson, Desmond G. Higgins, Toby J. Gibson · Nucleic Acids Research · 1994 · 64.9K citations · Full text
MUSCLE: multiple sequence alignment with high accuracy and high throughput
R. C. Edgar · Nucleic Acids Research · 2004 · 46.5K citations · Full text