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Statistical Analysis of High-Throughput Genomic and Transcriptomic Data

Fall/Herbst-semester 2023

Lectures

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

Exercises

Monday 11.00-11.45

Lecturers

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

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

Schedule

Date Lecturer Topic Exercise JC1 JC2
18.09.2023 Mark + Hubert admin; mol. bio. basics quarto; git(hub)
25.09.2023 Mark interactive technology/statistics session group exercise: technology pull request
02.10.2023 Hubert NGS intro; exploratory data analysis EDA in R
09.10.2023 Mark limma + friends linear model simulation + design matrices
16.10.2023 Hubert mapping Rsubread
23.10.2023 Hubert RNA-seq quantification RSEM X X
30.10.2023 Mark edgeR+friends 1 basic edgeR/voom X X
06.11.2023 tba hands-on session #1: RNA-seq FASTQC/Salmon/etc. X X
13.11.2023 Mark edgeR+friends 2 advanced edgeR/voom X X
20.11.2023 Hubert single-cell 1: preprocessing, dim. reduction, clustering clustering X X
27.11.2023 tba hands-on session #2: cytometry cytof null comparison X X
04.12.2023 Mark single-cell 2: clustering, marker gene DE marker gene DE X X
11.12.2023 tba hands-on session #3: single-cell RNA-seq (cell type definition, differential state) full scRNA-seq pipeline X X
18.12.2023 Mark spatial omics spatial statistics 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/sta426hs2023/material.git

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

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