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CNG | CRM Network Generator

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Classifies the position preferences of cis-regulatory elements (CRE) via a neural network and provides unbiased rating for these preferences. CNG is complementary to the tool “Exploration of Distinctive CREs and CRMs” (EDCC). It determines the importance of positional features within cis-regulatory modules (CRM) that were selected by EDCC. It resumes the analysis of the positional features in a scatterplot matrix.

CNG specifications

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Information

Unique identifier	OMICS_25790
Name	CRM Network Generator
Software type	Application/Script
Interface	Command line interface
Restrictions to use	None
Operating system	Unix/Linux, Mac OS, Windows
Programming languages	Python
License	Apache License version 2.0
Computer skills	Medium
Stability	Stable
Maintained	Yes

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Maintainer

Selahattin Danisman <>

CNG article

Computational exploration of cis-regulatory modules in rhythmic expression data using the "Exploration of Distinctive CREs and CRMs" (EDCC) and "CRM Network Generator" (CNG) programs.

2018 PLoS One

PMID: 29298348

DOI: 10.1371/journal.pone.0190421

CNG institution(s)

RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany

CNG funding source(s)

Supported by a core grant of Bielefeld University.

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