DupChecker: a package for checking high-throughput genomic data redundancy in meta-analysis

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.

Package details

AuthorQuanhu Sheng, Yu Shyr, Xi Chen
Bioconductor views Preprocessing
Maintainer"Quanhu SHENG" <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
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DupChecker documentation built on Nov. 1, 2018, 3:55 a.m.