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mQTL (version 1.0)

Metabolomic Quantitative Trait Locus Mapping

Description

mQTL provides a complete QTL analysis pipeline for metabolomic data. Distinctive features include normalisation using PQN approach, peak alignment using RSPA approach, dimensionality reduction using SRV approach and finally QTL mapping using R/qtl package.

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Version

Install

install.packages('mQTL')

Monthly Downloads

4

Version

1.0

License

GPL

Maintainer

Lyamine Hedjazi

Last Published

October 21st, 2013

Functions in mQTL (1.0)

SRV

Statistical Recoupling of Variables
attachSegments

Concatenation of test and reference segments
align_mQTL

Peak alignement and normalisation of metabolomic data
sgolayDeriv

Calculate smoothed derivates
process_mQTL

mQTL mapping
sgolay

Find the matrix of differentiation filters
mQTL-package

Metabolomic Quantitative Trait Locus mapping
format_mQTL

Routine to reformat the data into the required format
post_mQTL

Plot top LOD results
summary_mQTL

Function to summarize the results of a all the runs and their differences
pplot

Plot a color scale layer
ppersp

Plot a 3-D profile of LODs
normalise

Normalisation of metabolomic data
pre_mQTL

Statistical Recoupling of variables for mQTL analysis
selectRefSp

Automated selection of a reference spectrum
segmentateSp

Segmentation of a spectrum of interest
matchSegments

Matching of the segment of interest to the corresponding reference
peakPeaks

Peak picking algorithm
alignSp

Base function for Spectrum Alignment
SRV_Corr

Statistical recoupling of variables in a supervised context