Bioconductor version: Release (2.11)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Streamer")
To cite this package in a publication, start R and enter:
citation("Streamer")
R Script | Streamer: A simple example | |
Reference Manual |
biocViews | DataImport, Infrastructure, Software |
Version | 1.4.0 |
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), Rgraphviz |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | Streamer_1.4.0.tar.gz |
Windows Binary | Streamer_1.4.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) | Streamer_1.4.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!