Bioconductor version: Release (2.12)
This package implements a filtering procedure for replicated transcriptome sequencing data based on a global Jaccard similarity index in order to identify genes with low, constant levels of expression across one or more experimental conditions.
Author: Andrea Rau, Melina Gallopin, Gilles Celeux, and Florence Jaffrezic
Maintainer: Andrea Rau <andrea.rau at jouy.inra.fr>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("HTSFilter")
To cite this package in a publication, start R and enter:
citation("HTSFilter")
| R Script | HTSFilter Vignette | |
| Reference Manual | ||
| Text | NEWS |
| biocViews | DifferentialExpression, HighThroughputSequencing, Preprocessing, RNAseq, Software |
| Version | 1.0.1 |
| In Bioconductor since | BioC 2.13 (R-2.18) |
| License | Artistic-2.0 |
| Depends | methods, Biobase(>= 2.16.0), R (>= 2.10.0) |
| Imports | DESeq(>= 1.8.3), edgeR(>= 2.6.12), DESeq2, GenomicRanges, IRanges |
| Suggests | EDASeq(>= 1.2.0) |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
| Package Source | HTSFilter_1.0.1.tar.gz |
| Windows Binary | HTSFilter_1.0.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | HTSFilter_1.0.1.tgz |
| Package Downloads Report | Download Stats |
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