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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("zlibbioc")
In most cases, you don't need to download the package archive at all.
zlibbioc
An R packaged zlib-1.2.5
Bioconductor version: 3.0
This package uses the source code of zlib-1.2.5 to create libraries for systems that do not have these available via other means (most Linux and Mac users should have system-level access to zlib, and no direct need for this package). See the vignette for instructions on use.
Author: Martin Morgan
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("zlibbioc")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("zlibbioc")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("zlibbioc")
| R Script | Using zlibbioc C libraries | |
| Reference Manual | ||
| Text | LICENSE |
Details
| biocViews | Infrastructure, Software |
| Version | 1.12.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) |
| License | Artistic-2.0 + file LICENSE |
| Depends | |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | http://bioconductor.org/packages/release/bioc/html/Zlibbioc.html |
| Depends On Me | BitSeq, seqTools |
| Imports Me | affy, affyio, affyPLM, Biostrings, ChemmineOB, DiffBind, makecdfenv, ncdfFlow, oligo, QuasR, rhdf5, Rsamtools, rtracklayer, seqbias, ShortRead, snpStats, Starr, TransView, VariantAnnotation |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | zlibbioc_1.12.0.tar.gz |
| Windows Binary | zlibbioc_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | zlibbioc_1.12.0.tgz |
| Mac OS X 10.9 (Mavericks) | zlibbioc_1.12.0.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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