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ZENODO
Software . 2018
License: CC BY NC
Data sources: Datacite
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: CC BY NC
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: CC BY NC
Data sources: Datacite
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Pathway and annotation database for iDEP

Authors: Ge, Steven;

Pathway and annotation database for iDEP

Abstract

These files include the source code and related annotation and pathway data files that can be used to run iDEP (http://ge-lab.org/idep) locally. These files are current as of October 10, 2018, just before the publication of the paper on BMC Bioinformatics. The most recent version of source code can be found here: https://github.com/iDEP-SDSU/idep/. Note that all files need to be unzipped to the same folder and this line in server.R needs to be changed accordingly: # relative path to data files datapath = "../" For questions, please contact us http://ge-lab.org or https://twitter.com/StevenXGe

This is in support of our paper published in BMC Bioinformatics 2018: iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data Steven Xijin Ge1,*, Eun Wo Son1, and Runan Yao1

Related Organizations
Keywords

iDEP, pathway analysis, differential gene expression, RNA-Seq

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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14
Top 10%
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28