/material

Material for course STA426 at UZH, Fall Semester 2020

Primary LanguageHTMLMIT LicenseMIT

Statistical Analysis of High-Throughput Genomic and Transcriptomic Data

Fall/Herbst-semester 2020

Lectures

Mondays 9.00-9.45 (remote), 10.00-10.45 (remote)

Exercises

Monday 11.00-11.45 (remote)

Lecturers

Dr. Hubert Rehrauer, Group Leader of Genome Informatics at FGCZ

Prof. Dr. Mark Robinson, Associate Professor of Statistical Genomics, IMLS, UZH

Teaching Assistant

Ahmadreza Yousefkhani, M.Sc. student in Computational Biology and Bioinformatics

Schedule

Date Lecturer Topic Exercise JC1 JC2
14.09.2020 Mark + Hubert admin; mol. bio. basics R markdown; git(hub)
21.09.2020 Mark interactive technology/statistics session group exercise: technology pull request
28.09.2020 Hubert NGS intro; exploratory data analysis EDA in R
05.10.2020 Hubert mapping Rsubread
12.10.2020 Mark limma + friends linear model simulation + design matrices
19.10.2020 Hubert RNA-seq quantification RSEM
26.10.2020 Mark edgeR+friends 1 basic edgeR/voom
02.11.2020 Mark edgeR+friends 2 GLM/DEXSeq
09.11.2020 Kathi hands-on session #1: RNA-seq FASTQC/Salmon/etc. X X
16.11.2020 Hubert single-cell 1: preprocessing, dim. reduction, clustering X X
23.11.2020 Helena hands-on session #2: cytometry cytof null comparison X X
30.11.2020 Mark single-cell 2: cell type definition, differential state scRNA exercise 2 X X
07.12.2020 Pierre-Luc hands-on session #3: single-cell RNA-seq full scRNA-seq pipeline X X
14.12.2020 Mark loose ends: HMM, EM, robustness segmentation, peak finding X X

Course material

Assuming you have git installed locally, you can check out the entire set of course materials with the following command (from command line):

git clone https://github.com/sta426hs2020/material.git

Alternatively, for a ZIP file of the repository, you can click on the (green) 'Clone or download' (top right) and then click 'Download ZIP'.