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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)

Exercises

Monday 11.00-11.45 (Y01-F-50)

Lecturers

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

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

Schedule

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 X 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

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

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'.