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.
|Author||Quanhu Sheng, Yu Shyr, Xi Chen|
|Maintainer||"Quanhu SHENG" <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on Bioconductor|
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