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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

15

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