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Cited by 983

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Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes

Open access
Weaver, Steven, Shank, Stephen D, Spielman, Stephanie J, Li, Michael, Muse, Spencer V, Kosakovsky Pond, Sergei L·2018·Molecular Biology and Evolution

Abstract

Inference of how evolutionary forces have shaped extant genetic diversity is a cornerstone of modern comparative sequence analysis. Advances in sequence generation and increased statistical sophistication of relevant methods now allow researchers to extract ever more evolutionary signal from the data, albeit at an increased computational cost. Here, we announce the release of Datamonkey 2.0, a completely re-engineered version of the Datamonkey web-server for analyzing evolutionary signatures in sequence data. For this endeavor, we leveraged recent developments in open-source libraries that facilitate interactive, robust, and scalable web application development. Datamonkey 2.0 provides a carefully curated collection of methods for interrogating coding-sequence alignments for imprints of natural selection, packaged as a responsive (i.e. can be viewed on tablet and mobile devices), fully interactive, and API-enabled web application. To complement Datamonkey 2.0, we additionally release HyPhy Vision, an accompanying JavaScript application for visualizing analysis results. HyPhy Vision can also be used separately from Datamonkey 2.0 to visualize locally executed HyPhy analyses. Together, Datamonkey 2.0 and HyPhy Vision showcase how scientific software development can benefit from general-purpose open-source frameworks. Datamonkey 2.0 is freely and publicly available at http://www.datamonkey.org, and the underlying codebase is available from https://github.com/veg/datamonkey-js.

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Metadata

Authors
Weaver, S., Shank, S. D., Spielman, S. J., Li, M., Muse, S. V., & Kosakovsky Pond, S. L.
Venue
Molecular Biology and Evolution
Published
2018-01-02
Volume
35
Issue
3
Pages
773-777
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2781938185
Cited by
983
References
27
FWCI
17.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes. https://app.cochat.ai/papers/10.1093/molbev/msx335
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Weaver, S., Shank, S. D., Spielman, S. J., Li, M., Muse, S. V., & Kosakovsky Pond, S. L. (2018). Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msx335

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