Evidence map›Paper›PMID 29301006›Full record

ArticleMolecular biology and evolution2018

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

Steven Weaver, Stephen D Shank, Stephanie J Spielman, Michael Li, Spencer V Muse, Sergei L Kosakovsky Pond

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 635 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
635citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

635 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Complete Mitogenomes of the Critically Endangered Hainan Gibbon (Animals : an open access journal from MDPI · 2026
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  14. Genomic characterization of LaoThe Journal of general virology · 2026
    Article
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  18. TheAnimals : an open access journal from MDPI · 2026
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  20. Article

575 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Steven WeaverInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
Stephen D ShankInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
Stephanie J SpielmanInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
Michael LiInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
Spencer V MuseDepartment of Statistics, North Carolina State University, Raleigh, NC.
Sergei L Kosakovsky PondInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.

Funding

Turning big data analysis infrastructure for HIV researchR01AI134384 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, POND, SERGEI L KOSAKOVSKY · 2017 to 2021
$4.2M
Modeling Epidemic Infectious Diseases Using Sequence AnalysisU01GM110749 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2014 to 2018
$3.0M
HyPhy: Molecular Evolutionary AnalysesR01GM093939 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI MUSE, SPENCER V., POND, SERGEI L KOSAKOVSKY · 2010 to 2018
$2.5M
NIAID NIH HHS R01 AI134384NIGMS NIH HHS R01 GM093939NIGMS NIH HHS U01 GM110749
6 · The paper itself

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.

Indexed as

evolutionary inferencenatural selectionrecombinationstatistical methodsweb application

Identifiers

PMID29301006
PMCPMC5850112

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.