MSAViewer: interactive JavaScript visualization of multiple sequence alignments

The MSAViewer is a quick and easy visualization and analysis JavaScript component for Multiple Sequence Alignment data of any size. Core features include interactive navigation through the alignment, application of popular color schemes, sorting, selecting and filtering. The MSAViewer is ‘web ready’...

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Bibliographic Details
Published in:Bioinformatics (Oxford, England) Vol. 32; no. 22; pp. 3501 - 3503
Main Authors: Yachdav, Guy, Wilzbach, Sebastian, Rauscher, Benedikt, Sheridan, Robert, Sillitoe, Ian, Procter, James, Lewis, Suzanna E., Rost, Burkhard, Goldberg, Tatyana
Format: Journal Article
Language:English
Published: England Oxford University Press 15.11.2016
Subjects:
Applications Notes
BASIC BIOLOGICAL SCIENCES
Biochemistry & Molecular Biology
Biotechnology & Applied Microbiology
Computer Science
Mathematical & Computational Biology
Mathematics
MATHEMATICS AND COMPUTING
Programming Languages
Sequence Alignment
Software
Web Browser
ISSN:1367-4803, 1367-4811
Online Access:Get full text
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Description
Summary:The MSAViewer is a quick and easy visualization and analysis JavaScript component for Multiple Sequence Alignment data of any size. Core features include interactive navigation through the alignment, application of popular color schemes, sorting, selecting and filtering. The MSAViewer is ‘web ready’: written entirely in JavaScript, compatible with modern web browsers and does not require any specialized software. The MSAViewer is part of the BioJS collection of components. Availability and Implementation: The MSAViewer is released as open source software under the Boost Software License 1.0. Documentation, source code and the viewer are available at http://msa.biojs.net/. Supplementary information:  Supplementary data are available at Bioinformatics online. Contact:  msa@bio.sh
Bibliography:ObjectType-Article-1
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content type line 23
AC02-05CH11231
USDOE Office of Science (SC)
Associate Editor: John Hancock
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btw474