To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("mitoODEdata")

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

mitoODEdata

Experimental data associated to the paper "Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay" (submitted).

Bioconductor version: 2.14

This package contains the experimental data (assay annotation, siRNA annotation, time-lapse cell counts) associated to the paper "Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay" (submitted). The data ultimately come from the Mitocheck assay reported in "Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes" (Neumann, Walter et al, Nature 2010).

Author: Gregoire Pau

Maintainer: Gregoire Pau <pau.gregoire at gene.com>

Citation (from within R, enter citation("mitoODEdata")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("mitoODEdata")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mitoODEdata")

 

PDF R Script Mitoode data
PDF   Reference Manual
Text   NEWS

Details

biocViews CellBasedAssays, ExperimentData, Preprocessing, TimeCourse
Version 1.0.0
License LGPL
Depends R (>= 2.14.0)
Imports
Suggests
System Requirements
URL
Depends On Me mitoODE
Imports Me
Suggests Me

Package Archives

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

Package Source mitoODEdata_1.0.0.tar.gz
Windows Binary mitoODEdata_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) mitoODEdata_1.0.0.tgz
Mac OS X 10.9 (Mavericks) mitoODEdata_1.0.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center