STATegRa statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool STATegRa

Tool usage distribution map

This map represents all the scientific publications referring to STATegRa per scientific context
info info

Associated diseases


Popular tool citations

chevron_left Gene expression clustering Statistics for biology chevron_right
Want to access the full stats & trends on this tool?

STATegRa specifications


Unique identifier OMICS_21586
Name STATegRa
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.10.0
Stability Stable
Maintained Yes


  • OmicsClustering
  • OmicsPCA




No version available



  • person_outline David Gomez-Cabrero
  • person_outline Patricia Sebastián-León
  • person_outline Gordon Ball

Publication for STATegRa

STATegRa citations


Time resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3

BMC Biol
PMCID: 5937035
PMID: 29730990
DOI: 10.1186/s12915-018-0518-3

[…] the European Union’s Seventh Framework Programme (FP7, ERC Project ID: 617393 ‘CAUSALPATH’). JT was supported by Vetenskapsrådet Medicine and Health (Dnr 2011–3264), Torsten Söderberg Foundation, FP7 STATegra, AFA Insurance, and Stockholm County Council. FM was supported by the Karolinska Institutet Stiftelser & Fonder. NAK was supported by Vinnova VINNMER fellowship, Stratneuro and Karolinska Ins […]


The SAGA/TREX 2 subunit Sus1 binds widely to transcribed genes and affects mRNA turnover globally

PMCID: 5875001
PMID: 29598828
DOI: 10.1186/s13072-018-0184-2

[…] o JEP-O) and GV (PROMETEO/2012/061, PROMETEO/2016/093 and ACOMP/2014/061 to SR-N, and PROMETEOII/2015/006, ACOMP/2014/253 to JEP-O). The contributions of PF-T and AC were supported by the FP7 Project STATegra 306000. BFP was supported by NIH GM059055. BFP has a financial interest in Peconic, LLC, which utilizes the ChIP-exo technology implemented in this study and could potentially benefit from th […]


A survey of best practices for RNA seq data analysis

Genome Biol
PMCID: 4728800
PMID: 26813401
DOI: 10.1186/s13059-016-0881-8

[…] ly, removed by batch-correction methods such as COMBAT [] or ARSyN [, ]. These approaches, although initially developed for microarray data, have been shown to work well with normalized RNA-seq data (STATegra project, unpublished).As RNA-seq quantification is based on read counts that are absolutely or probabilistically assigned to transcripts, the first approaches to compute differential expressi […]


Public data and open source tools for multi assay genomic investigation of disease

Brief Bioinform
PMCID: 4945830
PMID: 26463000
DOI: 10.1093/bib/bbv080

[…] STATegra ( profiles a well-established model of cell-system B-cell progenitor differentiation including Hardy fractions Fr.C' to Fr.D (B3, []). Cells are assayed with strand-spe […]

Want to access the full list of citations?
STATegRa institution(s)
Scientific coordinator of the FP7 STATegra project, Genomics of Gene expression Lab, Prince Felipe Research Center, Valencia, Spain

STATegRa reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review STATegRa