To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("synlet")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Select hits from synthetic lethal RNAi screen data. For example, there are two identical celllines except one gene is knocked-down in one cellline. The interest is to find genes that lead to stronger lethal effect when they are knocked-down further by siRNA. Quality control and various visualisation tools are implemented. Four different algorithms could be used to pick up the interesting hits. This package is designed based on 384 wells plates, but may apply to other platforms with proper configuration.
Author: Chunxuan Shao <c.shao at dkfz.de>
Maintainer: Chunxuan Shao <c.shao at dkfz.de>
Citation (from within R,
enter citation("synlet")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("synlet")
HTML | R Script | A working Demo for synlet |
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, FeatureExtraction, Preprocessing, QualityControl, Software, Visualization |
Version | 1.6.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (2 years) |
License | GPL-3 |
Depends | R (>= 3.2.0), ggplot2 |
Imports | doBy, dplyr, grid, magrittr, RColorBrewer, RankProd, reshape2 |
LinkingTo | |
Suggests | knitr, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | synlet_1.6.0.tar.gz |
Windows Binary | synlet_1.6.0.zip |
Mac OS X 10.11 (El Capitan) | synlet_1.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/synlet |
Package Short Url | http://bioconductor.org/packages/synlet/ |
Package Downloads Report | Download Stats |
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