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URL: https://code.google.com/p/pepr-chip-seq/
Proper Citation: PePr (RRID:SCR_005759)
Description: A ChIP-Seq peak calling or differential binding analysis tool that is primarily designed for data with biological replicates. It uses a negative binomial distribution to model the read counts among the samples in the same group, and look for consistent differences between ChIP and control group or two ChIP groups run under different conditions.
Abbreviations: PePr
Synonyms: pepr-chip-seq, Peak Prioritization Pipeline, pepr-chip-seq: A ChIP-Seq analyzing program for biological replicates
Resource Type: software resource
Defining Citation: PMID:24894502
Keywords: python, bio.tools
Availability: GNU General Public License, v3
Resource Name: PePr
Resource ID: SCR_005759
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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