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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DupChecker")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DupChecker")
R Script | Validate genomic data with "DupChecker" package | |
Reference Manual |
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 |
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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