To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("RNAseqData.HNRNPC.bam.chr14")

In most cases, you don't need to download the package archive at all.

RNAseqData.HNRNPC.bam.chr14

Aligned reads from RNAseq experiment: Transcription profiling by high throughput sequencing of HNRNPC knockdown and control HeLa cells

Bioconductor version: 2.14

The package contains 8 BAM files, 1 per sequencing run. Each BAM file was obtained by (1) aligning the reads (paired-end) to the full hg19 genome with TopHat2, and then (2) subsetting to keep only alignments on chr14. See accession number E-MTAB-1147 in the ArrayExpress database for details about the experiment, including links to the published study (by Zarnack et al., 2012) and to the FASTQ files.

Author: H. Pages

Maintainer: H. Pages <hpages at fhcrc.org>

Citation (from within R, enter citation("RNAseqData.HNRNPC.bam.chr14")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("RNAseqData.HNRNPC.bam.chr14")

Documentation

PDF   Reference Manual

Details

biocViews ExperimentData, Homo_sapiens, RNAseqData
Version 0.2.0
License LGPL
Depends
Imports
Suggests GenomicAlignments, BiocInstaller
System Requirements
URL http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1147/
Depends On Me RNAseqData.HeLa.bam.chr14
Imports Me RNAseqData.HeLa.bam.chr14
Suggests Me GenomicAlignments, GenomicFiles, roar, Rsamtools, SplicingGraphs

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source RNAseqData.HNRNPC.bam.chr14_0.2.0.tar.gz
Windows Binary RNAseqData.HNRNPC.bam.chr14_0.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) RNAseqData.HNRNPC.bam.chr14_0.2.0.tgz
Mac OS X 10.9 (Mavericks) RNAseqData.HNRNPC.bam.chr14_0.2.0.tgz
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