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.

Getting started

Package details

AuthorShannon M. Bell <bell.shannonm@gmail.com>, Lyle D. Burgoon <burgoon.lyle@epa.gov>
MaintainerShannon M. Bell <bell.shannonm@gmail.com>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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MIPHENO documentation built on May 2, 2019, 5:42 a.m.