recipe bioconductor-dupchecker

Meta-analysis has become a popular approach for high-throughput genomic data analysis because it often can significantly increase power to detect biological signals or patterns in datasets. However, when using public-available databases for meta-analysis, duplication of samples is an often encountered problem, especially for gene expression data. Not removing duplicates would make study results questionable. We developed a Bioconductor package DupChecker that efficiently identifies duplicated samples by generating MD5 fingerprints for raw data.

License:GPL (>= 2)
Links:biotools: dupchecker
package bioconductor-dupchecker

(downloads) docker_bioconductor-dupchecker


1.20.0-0, 1.18.0-0, 1.16.0-0

Required By:


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-dupchecker

and update with:

conda update bioconductor-dupchecker

or use the docker container:

docker pull<tag>

(see bioconductor-dupchecker/tags for valid values for <tag>)