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NPEBseq | Nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data

A novel nonparametric empirical Bayesian-based approach (NPEBseq) to model the RNA-seq data. PEBseq can successfully detect differential expression between different conditions not only at gene level but also at exon level from RNA-seq datasets. In addition, NPEBSeq performs significantly better than current methods and can be applied to genome-wide RNA-seq datasets. NPEBseq can be applied to not only detect differential gene expressions from the RNA-seq dataset with technical and biological replicates for both studied conditions, but also to detect differential usage of exons. This method has been widely used in ecology to estimate species diversity.

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NPEBseq classification

NPEBseq specifications

Unique identifier:
OMICS_01312
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
No

NPEBseq distribution

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NPEBseq support

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This tool is not available anymore.

Credits

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Publications

Institution(s)

Center for Systems and Computational Biology, Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, USA

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