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.

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AuthorShannon M. Bell <bell.shannonm@gmail.com>, Lyle D. Burgoon <burgoon.lyle@epa.gov>
Date of publication2012-01-27 11:27:41
MaintainerShannon M. Bell <bell.shannonm@gmail.com>
LicenseGPL (>= 3)

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