30min PhD thesis - Correlated Trait Locus (CTL) mapping
Channel: Danny Arends
Date: 2022-04-03

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/CTLmapping.

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: https://www.youtube.com/playlist?list=PLhR2Go-lh6X5A5WbiO3SPHuoWbwpNznUl

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 !

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