To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Rolexa")
In most cases, you don't need to download the package archive at all.
Rolexa
Statistical analysis of Solexa sequencing data
Bioconductor version: 3.0
Provides probabilistic base calling, quality checks and diagnostic plots for Solexa sequencing data
Author: Jacques Rougemont, Arnaud Amzallag, Christian Iseli, Laurent Farinelli, Ioannis Xenarios, Felix Naef
Maintainer: Jacques Rougemont <jacques.rougemont at epfl.ch>
Citation (from within R,
enter citation("Rolexa")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Rolexa")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Rolexa")
| R Script | Rolexa | |
| Reference Manual |
Details
| biocViews | DataImport, Preprocessing, QualityControl, Sequencing, Software |
| Version | 1.22.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) |
| License | GPL-2 |
| Depends | R (>= 2.9.0), graphics, grDevices, methods, ShortRead |
| Imports | mclust, Biostrings, graphics, grDevices, IRanges, methods, ShortRead, stats |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | fork |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Rolexa_1.22.0.tar.gz |
| Windows Binary | Rolexa_1.22.0.zip |
| Mac OS X 10.6 (Snow Leopard) | Rolexa_1.22.0.tgz |
| Mac OS X 10.9 (Mavericks) | Rolexa_1.22.0.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
- 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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