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GeNNet

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Unifies scientific workflows with graph databases for selecting relevant genes according to the evaluated biological systems. GeNNet is an integrated transcriptome analysis platform that includes pre-loaded biological data, pre-processes raw microarray data and conducts a series of analyses including normalization, differential expression inference, clusterization and geneset enrichment analysis. This platform integrates the analytical process of transcriptome data with graph database. It provides a comprehensive set of tools that would otherwise be challenging for non-expert users to install and use.

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GeNNet classification

GeNNet specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
License:
GNU General Public License version 3.0
Stability:
Stable

GeNNet distribution

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GeNNet support

Documentation

Credits

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Publications

Institution(s)

National Institute of Cancer (INCA), Rio de Janeiro, Brazil; National Laboratory for Scientific Computing (LNCC), Petrópolis, Brazil; Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil

Funding source(s)

This work has been supported by CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior) and CNPq (Conselho Nacional de Desenvolvimento Cientfico e Tecnologico) funding.

Link to literature

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