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Reconstructing metabolic and expression networks using Correlated Trait Locus mapping. A method to find genetic loci and regulators of correlation between phenotypes. It is a method which complements classical Quantitative Trait Locus (QTL) and GWA studies, providing additional insights overlooked by the classical QTL approach. A novel approach to detect genetic regulation of phenotypes in natural and experimental populations. Code at: https://github.com/DannyArends/CTLmap.... Experimental work speeding up correlation computations was done by The Joint Institute for Computational Sciences - An Institute of the University of Tennessee and Oak Ridge National Laboratory for more see https://github.com/UTennessee-JICS/MPCC and https://www.ornl.gov/ #Bioinformatics #30minPhD #Lectures @ https://dannyarends.nl/bioinformatik/ #Programming Assignments and Answers @ https://dannyarends.nl/bioinfo/ #Playlist: • Bioinformatics for Plant and Animal s... Chapters: 00:00 Welcome 00:35 Summary of QTL mapping and the yield plateau in plants 07:10 Correlation differences between AA and BB individuals in a populations 10:40 How can CTL mapping break two correlated traits the yield plateau 13:14 Computing CTL loci 18:19 Find significance and visualize the result 22:22 Using CTL information to associate metabolites to linear pathways 27:00 Reconstructing a pathway using CTL connection nodes 30:35 Thank you for being here ! Thanks for taking an interest in my channel 😄If you've made it this far down, support me by giving a like or subscribing. Join me during my live streams Thursday afternoons on Twitch @ / dannyarends This work is licensed under version 3.0 of the Creative Commons CC-BY license. For more information see http://creativecommons.org/licenses/b...