tweeDEseq statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Differential expression Normalization chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

tweeDEseq specifications

Information


Unique identifier OMICS_02406
Name tweeDEseq
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C, R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.26.0
Stability Stable
Requirements
limma, parallel, edgeR, MASS, xtable, R(>=2.12.0), cqn, tweeDEseqCountData
Maintained Yes

Download


Versioning


Add your version

Documentation


Maintainers


  • person_outline mesnaola <>
  • person_outline Robert Castelo <>
  • person_outline Juan González <>

Publication for tweeDEseq

tweeDEseq in publications

 (2)
PMCID: 5668987
PMID: 29096703
DOI: 10.1186/s13293-017-0156-4

[…] silent and escape genes. based on this 30% cutoff, the misclassification rate of known escape genes is 3% and the area under curve (auc) is 0.92 (additional file : figure s1)., we used the r package tweedeseq [] to compare gene expression between males and females. tweedeseq first normalizes the raw counts of rna-seq reads, and then fits the rna-seq count data to a family of flexible […]

PMCID: 4404591
PMID: 25887593
DOI: 10.1186/s13059-015-0627-z

[…] variation in gene expression variation., three different methods were used to identify and quantify genes that may be differentially expressed among human groups: two published methods (deseq [] and tweedeseq []), and a permutation of the hierarchical anova. the two published methods can only compare two groups at a time, while permutations of the hierarchical anova permit the analysis of two […]


To access a full list of publications, you will need to upgrade to our premium service.

tweeDEseq institution(s)
Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Department of Mathematics, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain; Center for Genomic Regulation (CRG), Barcelona, Spain; Department of Experimental and Health Sciences, Research Program on Biomedical Informatics (GRIB), Universitat Pompeu Fabra, Barcelona, Spain; Hospital del Mar Research Institute (IMIM), Barcelona, Spain; CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
tweeDEseq funding source(s)
Supported by grants from the ‘Ministerio de Ciencia e Innovación - MICINN’ (MTM2011-26515, MTM2010-09526-E, MTM2009-10893 and TIN2011-22826), from European Reseach Council, Breathe project, ERC-AdG, and GA num. 268479.

tweeDEseq reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review tweeDEseq