To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Streamer")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
Large data files can be difficult to work with in R, where data generally resides in memory. This package encourages a style of programming where data is 'streamed' from disk into R via a `producer' and through a series of `consumers' that, typically reduce the original data to a manageable size. The package provides useful Producer and Consumer stream components for operations such as data input, sampling, indexing, and transformation; see package?Streamer for details.
Author: Martin Morgan, Nishant Gopalakrishnan
Maintainer: Martin Morgan <mtmorgan at fhcrc.org>
Citation (from within R,
enter citation("Streamer")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Streamer")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Streamer")
R Script | Streamer: A simple example | |
Reference Manual |
biocViews | DataImport, Infrastructure, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | Artistic-2.0 |
Depends | |
Imports | methods, graph, RBGL, parallel, BiocGenerics |
Suggests | RUnit, Rsamtools(>= 1.5.53), GenomicAlignments, Rgraphviz |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | plethy |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | Streamer_1.10.0.tar.gz |
Windows Binary | Streamer_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | Streamer_1.10.0.tgz |
Mac OS X 10.9 (Mavericks) | Streamer_1.10.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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