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NOISeq | Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

Identifies differentially expressed genes from count data or previously normalized count data. NOISeq empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene are likely to be part of the noise or represent a true differential expression.

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NOISeq forum

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NOISeq classification

NOISeq specifications

Unique identifier:
OMICS_01311
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
Artistic License version 2.0
Stability:
Stable
Maintained:
Yes
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Requirements:
methods, Biobase, splines, Matrix

NOISeq distribution

versioning

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No versioning.

NOISeq support

Documentation

Maintainer

  • Sonia Tarazona <>

Credits

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Publications

Institution(s)

Bioinformatics and Genomics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain; Department of Applied Statistics, Operations Research and Quality, Universidad Politécnica de Valencia,Valencia, Spain

Funding source(s)

European Union Seventh Framework Programme [FP7/2007-2013, 306000]; Spanish Ministry of Science and Innovation [MICINN, BIO2008-04638-E], in the framework of ERA-Net Pathogenomics; MICINN [DPI2008-06880-C03-03/DPI]

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.