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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BiocCheck")
In most cases, you don't need to download the package archive at all.
BiocCheck
Bioconductor-specific package checks
Bioconductor version: 3.0
Bioconductor-specific package checks
Author: Bioconductor Package Maintainer [aut, cre]
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("BiocCheck")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BiocCheck")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BiocCheck")
| HTML | R Script | BiocCheck |
| Reference Manual |
Details
| biocViews | Infrastructure, Software |
| Version | 1.2.3 |
| In Bioconductor since | BioC 2.14 (R-3.1) |
| License | Artistic-2.0 |
| Depends | R (>= 3.1.0) |
| Imports | biocViews(>= 1.33.7), BiocInstaller, graph, devtools (>= 1.4.1), httr, knitr, tools, optparse, codetools, methods |
| LinkingTo | |
| Suggests | RUnit, BiocGenerics, Biobase, RJSONIO, knitrBootstrap |
| SystemRequirements | |
| Enhances | codetoolsBioC |
| URL | https://github.com/Bioconductor/BiocCheck/issues |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | BiocCheck_1.2.3.tar.gz |
| Windows Binary | BiocCheck_1.2.3.zip |
| Mac OS X 10.6 (Snow Leopard) | BiocCheck_1.2.3.tgz |
| Mac OS X 10.9 (Mavericks) | BiocCheck_1.2.3.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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