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ZENODO
Software . 2018
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
Data sources: Datacite
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ZENODO
Software . 2018
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
Data sources: Datacite
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BEHST software

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Dec 2018Publisher:Zenodo
Authors: Chicco, Davide; Bi, Haixin Sarah; Hoffman, Michael M.;

doi: 10.5281/zenodo.2174744 , 10.5281/zenodo.2174743

Abstract

BEHST (Biological Enrichment of Hidden Sequence Targets) is a tool for genomic set enrichment analysis enhanced through integration of chromatin long-range interactions. The zip file here contains the software source code of BEHST version 3.7. The source code files are in R, Python 3, and bash. All the source code files are in the /bin/ folder, and the starting file of the program is the bash file named behst Useful links: Bitbucket source code: https://bitbucket.org/hoffmanlab/behst Web application: http://behst.hoffmanlab.org Landing webpage: https://hoffmanlab.org/proj/behst BEHST is also available on the bioconda platform.

Keywords

Gene Ontology annotations, genomic set enrichment, genomics, behst

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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