COM SCI 225
Methods and Applications in Computational Genomics
Computer Science · 4 units · Graduate courses (200-299)
(Formerly numbered M225.) Introduction to computational approaches in bioinformatics, genomics, and computational genetics through study of examples of computational approaches to interdisciplinary research in genetics and genomics. Topics include genome analysis, epigenomics, regulatory genomics, association analysis, association study design, isolated and admixed populations, population substructure, human structural variation, model organisms, and genomic technologies. Computational techniques and methods include those from statistics and computer science.
Letter grading.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.