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MSAViewer: interactive JavaScript visualization of multiple sequence alignments

Yachdav, G; Wilzbach, S; Rauscher, B; Sheridan, R; Sillitoe, I; Procter, J; Lewis, SE; ... Goldberg, T; + view all (2016) MSAViewer: interactive JavaScript visualization of multiple sequence alignments. Bioinformatics , 32 (22) pp. 3501-3503. 10.1093/bioinformatics/btw474. Green open access

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Abstract

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.

Type: Article
Title: MSAViewer: interactive JavaScript visualization of multiple sequence alignments
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/bioinformatics/btw474
Publisher version: https://doi.org/10.1093/bioinformatics/btw474
Language: English
Additional information: Copyright © The Author 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
Keywords: Science & Technology, Life Sciences & Biomedicine, Technology, Physical Sciences, Biochemical Research Methods, Biotechnology & Applied Microbiology, Computer Science, Interdisciplinary Applications, Mathematical & Computational Biology, Statistics & Probability, Biochemistry & Molecular Biology, Computer Science, Mathematics, Prediction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
URI: https://discovery.ucl.ac.uk/id/eprint/1506382
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