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Statistical Analysis of High-Throughput Genomic and Transcriptomic Data

Fall/Herbst-semester 2025

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

[tba](https://www.uzh.ch], Title, Affiliation, UZH/ETHZ

Schedule

Date Lecturer Topic Exercise JC1 JC2
15.09.2025 Mark+Hubert admin; mol. bio. basics quarto; git(hub)
22.09.2025 Mark interactive technology/statistics session group exercise: technology PR
29.09.2025 Hubert NGS intro; exploratory data analysis EDA in R
06.10.2025 Hubert mapping Rsubread
13.10.2025 Mark limma + friends linear model simulation + design matrices
20.10.2025 Hubert RNA-seq quantification RSEM X X
27.10.2025 Mark edgeR+friends 1 basic edgeR/voom X X
03.11.2025 Mark edgeR+friends 2 advanced edgeR/voom X X
10.11.2025 Mark hands-on session #1: RNA-seq FASTQC/Salmon/etc. X X
17.11.2025 Hubert single-cell 1: preprocessing, dim. red., clustering clustering X X
24.11.2025 Mark single-cell 2: clustering, marker gene DE marker gene DE X X
01.12.2025 tba hands-on session #2: single-cell RNA-seq full scRNA-seq pipeline X X
08.12.2025 Mark spatial omics 1 spatial statistics X X
15.12.2025 Mark spatial omics 2 structures, DSP 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/sta426hs2025/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'.

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Course material for STA426 fall semester 2025

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