compcodeR statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool compcodeR
info

Tool usage distribution map

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

Associated diseases

info

Popular tool citations

chevron_left Differential expression Normalization Read simulation chevron_right
Want to access the full stats & trends on this tool?

compcodeR specifications

Information


Unique identifier OMICS_04050
Name compcodeR
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Charlotte Soneson

Publication for compcodeR

compcodeR citations

 (2)
library_books

Towards unified quality verification of synthetic count data with countsimQC

2017
Bioinformatics
PMCID: 5860609
PMID: 29028961
DOI: 10.1093/bioinformatics/btx631

[…] evidence that the synthetic data mimic real data, since this is not always easy to assess from a text description of a simulation model. We note that it is not the first effort in this direction; the compcodeR package () as well as powsim () contain functions for summarizing the characteristics of a single dataset, and the splatter package () also provides the opportunity to generate figures compa […]

library_books

Evaluation of methods for differential expression analysis on multi group RNA seq count data

2015
BMC Bioinformatics
PMCID: 4634584
PMID: 26538400
DOI: 10.1186/s12859-015-0794-7

[…] he advanced versions for edgeR and DESeq, respectively, and are robust against count outliers such as abnormally high counts (for details, see [, ]). To the best of our knowledge, only one R package, compcodeR [], can generate simulation count data with outliers, but it has been restricted to only two-group comparisons so far. Extending the simulation framework of compcodeR to multi-group data may […]


Want to access the full list of citations?
compcodeR institution(s)
Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne, Switzerland

compcodeR reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review compcodeR