DupChecker

DOI: 10.18129/B9.bioc.DupChecker    

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

Bioconductor version: Release (3.6)

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" <shengqh at gmail.com>

Citation (from within R, enter citation("DupChecker")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DupChecker")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DupChecker")

 

PDF R Script Validate genomic data with "DupChecker" package
PDF   Reference Manual

Details

biocViews Preprocessing, Software
Version 1.16.0
In Bioconductor since BioC 3.0 (R-3.1) (3.5 years)
License GPL (>= 2)
Depends
Imports tools, R.utils, RCurl
LinkingTo
Suggests knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DupChecker_1.16.0.tar.gz
Windows Binary DupChecker_1.16.0.zip
Mac OS X 10.11 (El Capitan) DupChecker_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DupChecker
Package Short Url http://bioconductor.org/packages/DupChecker/
Package Downloads Report Download Stats

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