Overview
This repository contains R scripts and datasets for analyzing metabolomics experiments descriped in manuscript entitled "Metabolite profiling reveals insight into interspecific variations in heat tolerance of three co-existing pest species". The scripts perform various tasks such as survival curve plotting, principal component analysis (PCA), and univariate analysis.
Contents
Scripts 1-Survive_curve_fig1.R Script for computing median lethal time and generating survival curves to visualize experimental data.
2-exp1_pca.R Performs PCA for Experiment 1, exploring variance and identifying patterns between different treatments.
3-exp2_pca.R Performs PCA for Experiment 2, exploring variance and identifying patterns between different treatments.
4-Univariate_analysis-experiment1.R Conducts univariate statistical analysis for Experiment 1 to identify changes in individual metabolites level.
5-Univariate_analysis-experiment2.R Conducts univariate statistical analysis for Experiment 2 to identify changes in individual metabolites level.
Data
aphid_surv.csv: Data file containing survival data for heat treatment. This is used as input for Lethal median time computating and survival curve plot.
metabo_exp1.txt: Data file containing metabolites measurements for Experiment 1. This is used as input for the PCA analysis in 2-exp1_pca.R.
metabo_exp2.txt: Data file containing metabolites measurements for Experiment 2. This is used as input for the PCA analysis in 3-exp2_pca.R.
metabo_average.csv and metabo_foldchange.csv:
Data file containing metabolites measurements, fold change, and averaged value by treatment for Experiment 1 and 2. This is used as input for the 4-Univariate_analysis-experiment1.R and 5-Univariate_analysis-experiment2.R