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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("TargetSearch")
In most cases, you don't need to download the package archive at all.
TargetSearch
A package for the analysis of GC-MS metabolite profiling data.
Bioconductor version: 2.14
This packages provides a targeted pre-processing method for GC-MS data.
Author: Alvaro Cuadros-Inostroza <inostroza at mpimp-golm.mpg.de>, Jan Lisec <lisec at mpimp-golm.mpg.de>, Henning Redestig <henning.red at googlemail.com>, Matt Hannah <matthew.hannah at bayercropscience.com>
Maintainer: Alvaro Cuadros-Inostroza <inostroza at mpimp-golm.mpg.de>
Citation (from within R,
enter citation("TargetSearch")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("TargetSearch")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TargetSearch")
| R Script | RI correction | |
| R Script | The TargetSearch Package | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | MassSpectrometry, Preprocessing, Software |
| Version | 1.20.0 |
| In Bioconductor since | BioC 2.4 (R-2.9) |
| License | GPL (>= 2) |
| Depends | R (>= 2.7.0), mzR |
| Imports | graphics, grDevices, methods, stats, tcltk, utils |
| Suggests | TargetSearchData |
| System Requirements | |
| URL | |
| Depends On Me | TargetSearchData |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | TargetSearch_1.20.0.tar.gz |
| Windows Binary | TargetSearch_1.20.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | TargetSearch_1.20.0.tgz |
| Mac OS X 10.9 (Mavericks) | TargetSearch_1.20.0.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
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