MIPHENO: Mutant Identification through Probabilistic High throughput Enabled NOrmalization

This package contains functions to carry out processing of high throughput data analysis and detection of putative hits/mutants. Contents include a function for post-hoc quality control for removal of outlier sample sets, a median-based normalization method for use in datasets where there are no explicit controls and where most of the responses are of the wildtype/no response class (see accompanying paper). The package also includes a way to prioritize individuals of interest using am empirical cumulative distribution function. Methods for generating synthetic data as well as data from the Chloroplast 2010 project are included.

Version: 1.2
Depends: R (≥ 2.12.1)
Imports: doBy, gdata
Published: 2012-01-27
Author: Shannon M. Bell, Lyle D. Burgoon
Maintainer: Shannon M. Bell <bell.shannonm at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: MIPHENO results


Reference manual: MIPHENO.pdf
Package source: MIPHENO_1.2.tar.gz
OS X binary: MIPHENO_1.2.tgz
Windows binary: MIPHENO_1.2.zip
Old sources: MIPHENO archive