To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PGA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
This package provides functions for construction of customized protein databases based on RNA-Seq data, database searching, post-processing and report generation. This kind of customized protein database includes both the reference database (such as Refseq or ENSEMBL) and the novel peptide sequences form RNA-Seq data.
Author: Shaohang Xu, Bo Wen
Maintainer: Bo Wen <wenbo at genomics.cn>, Shaohang Xu <xsh.skye at gmail.com>
Citation (from within R,
enter citation("PGA")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PGA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PGA")
PGA tutorial | ||
Reference Manual | ||
Text | NEWS |
biocViews | MassSpectrometry, Proteomics, RNASeq, ReportWriting, Sequencing, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (0.5 years) |
License | GPL-2 |
Depends | R (>= 3.0.1), IRanges, GenomicRanges, Biostrings(>= 2.26.3), data.table, rTANDEM |
Imports | Rsamtools(>= 1.10.2), GenomicFeatures(>= 1.19.8), biomaRt(>= 2.17.1), stringr, RCurl, Nozzle.R1, VariantAnnotation(>= 1.7.28), rtracklayer, RSQLite, ggplot2, AnnotationDbi, customProDB(>= 1.7.0), pheatmap |
LinkingTo | |
Suggests | BSgenome.Hsapiens.UCSC.hg19, RUnit, BiocGenerics, BiocStyle, knitr, R.utils |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | PGA_1.0.0.tar.gz |
Windows Binary | PGA_1.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | PGA_1.0.0.tgz |
Mac OS X 10.9 (Mavericks) | PGA_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PGA/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/PGA/ |
Package Downloads Report | Download Stats |
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