CONSTANd
CONSTANd' is a software tool for differential expression studies across various omics disciplines. It focuses on data normalization, a critical step in this process. Normalization helps ensure that results are comparable across different samples or experiments, even with technical variations. This is especially important when working with large amounts of data generated from high-throughput instruments. The CONSTANd method balances speed and effectiveness, making it suitable for automated analysis pipelines.
Topic
Proteomics;Proteomics experiment;Transcriptomics;Workflows;Sequence analysis
Detail
Operation: Quantification;Standardisation and normalisation;Validation
Software interface: Library
Language: Python,R
License: -
Cost: Free
Version name: 1.11.0
Credit: -
Input: -
Output: -
Contact: Dirk Valkenborg dirk.valkenborg@uhasselt.be
Collection: -
Maturity: Stable
Publications
- CONSTANd: An Efficient Normalization Method for Relative Quantification in Small- and Large-Scale Omics Experiments in R BioConductor and Python.
- Van Houtven J, et al. CONSTANd: An Efficient Normalization Method for Relative Quantification in Small- and Large-Scale Omics Experiments in R BioConductor and Python. CONSTANd: An Efficient Normalization Method for Relative Quantification in Small- and Large-Scale Omics Experiments in R BioConductor and Python. 2021; 20:2151-2156. doi: 10.1021/acs.jproteome.0c00977
- https://doi.org/10.1021/ACS.JPROTEOME.0C00977
- PMID: 33703904
- PMC: -
Download and documentation
Source: https://bioconductor.org/packages/devel/bioc/src/contrib/CONSTANd_1.11.0.tar.gz
Documentation: https://bioconductor.org/packages/devel/bioc/manuals/CONSTANd/man/CONSTANd.pdf
Home page: https://bioconductor.org/packages/devel/bioc/html/CONSTANd.html
Links: https://bioconductor.org/packages/devel/bioc/vignettes/CONSTANd/inst/doc/CONSTANd.html
Links: https://bioconductor.org/packages/devel/bioc/vignettes/CONSTANd/inst/doc/CONSTANd.R
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