Sign in
BioinformaticsF1000Research
Peer-reviewed journal article

AlignmentViewer: Sequence Analysis of Large Protein Families

Roc ReguantiD, Yevgeniy Antipin, Rob Sheridan, Christian DallagoiD, Drew Diamantoukos, Augustin LunaiD, Chris SanderiD, Nicholas Paul GauthieriD

Abstract

SummaryAlignmentViewer is multiple sequence alignment viewer for protein families with flexible visualization, analysis tools and links to protein family databases. It is directly accessible in web browsers without the need for software installation, as it is implemented in JavaScript, and does not require an internet connection to function. It can handle protein families with tens of thousands of sequences and is particularly suitable for evolutionary coupling analysis, facilitating the computation of protein 3D structures and the detection of functionally constrained interactions.\n\nAvailability and ImplementationAlignmentViewer is open source software under the MIT license. The viewer is at http://alignmentviewer.org and the source code, documentation and issue tracking, for co-development, are at https://github.com/dfci/alignmentviewer\n\nContactalignment.viewer@gmail.com, reaches all authors

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISDeshpande '22Cottret '18Malik '26Olenyi '25Linheiro '22Torun '21
67% semantic matchBioinformatics
Mandar Deshpande, Mihály Váradi, Typhaine Paysan‐Lafosse+6 more·bioRxiv·Jul 22, 2022· 5 citations