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.
Bioconductor version: 2.13
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("mitoODEdata")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mitoODEdata")
R Script | Mitoode data | |
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, ExperimentData, Preprocessing, TimeCourse |
Version | 0.99.6 |
License | LGPL |
Depends | R (>= 2.14.0) |
Imports | |
Suggests | |
System Requirements | |
URL | |
Depends On Me | mitoODE |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | mitoODEdata_0.99.6.tar.gz |
Windows Binary | mitoODEdata_0.99.6.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | mitoODEdata_0.99.6.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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