The package provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially, as well as views on these sequences. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent "Sequence API" as much as possible.
| Author | H. Pages, P. Aboyoun and M. Lawrence |
| Maintainer | Biocore Team c/o BioC user list |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("IRanges")
| An Introduction to IRanges | R Script | |
|---|---|---|
| Rle Tips and Tricks | R Script | |
| Reference Manual |
| biocViews | |
|---|---|
| Depends |
R
,
methods
,
utils
,
stats
|
| Imports |
methods
,
utils
,
stats
|
| Suggests |
RUnit
|
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me |
BSgenome
,
BayesPeak
,
Biostrings
,
ChIPpeakAnno
,
GGtools
,
GenomicFeatures
,
GenomicRanges
,
Genominator
,
PICS
,
Rsamtools
,
ShortRead
,
VanillaICE
,
biocDatasets
,
chipseq
,
girafe
,
oneChannelGUI
,
rGADEM
,
rMAT
,
xmapcore
|
| Imports Me |
BayesPeak
,
Biostrings
,
ChIPpeakAnno
,
ChIPseqR
,
ChIPsim
,
ChromHeatMap
,
GGtools
,
GenomicFeatures
,
GenomicRanges
,
MotIV
,
PICS
,
Rolexa
,
Rsamtools
,
ShortRead
,
biocDatasets
,
charm
,
chipseq
,
methVisual
,
pdInfoBuilder
,
rGADEM
,
rMAT
,
rtracklayer
,
segmentSeq
|
| Suggests Me |
| Package source | IRanges_1.6.16.tar.gz |
|---|---|
| Windows 32-bit binary | IRanges_1.6.16.zip |
| Windows 64-bit binary | IRanges_1.6.16.zip |
| MacOS X 10.5 (Leopard) binary | IRanges_1.6.16.tgz |
| Package Downloads Report | Downloads Stats |