Statistical Analysis of High-Throughput Genomic and Transcriptomic Data

Fall/Herbst-semester 2021

Lectures

Mondays 9.00-9.45 (Y27-H-46), 10.00-10.45 (Y27-H-46)

Monday 11.00-11.45 (Y27-H-46)

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

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

Date	Lecturer	Topic	Exercise	JC1	JC2
20.09.2021	Mark + Hubert	admin; mol. bio. basics	R markdown; git(hub)
27.09.2021	Mark	interactive technology/statistics session	group exercise: technology pull request
04.10.2021	Hubert	NGS intro; exploratory data analysis	EDA in R
11.10.2021	Hubert	mapping	Rsubread
18.10.2021	Mark	limma + friends	linear model simulation + design matrices
25.10.2021	Hubert	RNA-seq quantification	RSEM	X	X
01.11.2021	Mark	edgeR+friends 1	basic edgeR/voom	OUTRIDER: A Statistical Method for Detecting Aberrantly Expressed Genes in RNA Sequencing Data (BT, KN)	X
08.11.2021	Mark	edgeR+friends 2	advanced edgeR/voom	X	X
15.11.2021	TBA	hands-on session #1: RNA-seq	FASTQC/Salmon/etc.	X	X
22.11.2021	Hubert	single-cell 1: preprocessing, dim. reduction, clustering	clustering	X	X
29.11.2021	TBA	hands-on session #2: cytometry	cytof null comparison	X	X
06.12.2021	Mark	single-cell 2: clustering, marker gene DE	marker gene DE	X	X
13.12.2021	Pierre-Luc	hands-on session #3: single-cell RNA-seq (cell type definition, differential state)	full scRNA-seq pipeline	X	X
20.12.2021	Mark	loose ends: HMM, EM, robustness	segmentation, peak finding	X	X

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

and get updates by running git pull at any later time in the same directory.

Alternatively, for a ZIP file of the repository, you can click on the (green) 'Code' button (top right of main panel) and then click 'Download ZIP'.