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Statistical Analysis of High-Throughput Genomic and Transcriptomic Data

Fall/Herbst-semester 2018

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

Mr. Lukas Weber, final year PhD student, IMLS, UZH

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

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

Dr. Charlotte Soneson, Postdoctoral Associate, IMLS, UZH

Schedule

Date Lecturer Topic Exercise JC1 JC2
17.09.2018 Mark + Hubert admin; mol. bio. basics R markdown; git(hub)
24.09.2018 Hubert NGS intro; exploratory data analysis EDA in R
01.10.2018 Mark + Hubert interactive technology/statistics session group exercise: technology pull request
08.10.2018 Hubert mapping Rsubread
15.10.2018 Mark limma + friends linear model simulation + design matrices
22.10.2018 Hubert RNA-seq quantification RSEM
29.10.2018 Charlotte hands-on session #1: RNA-seq FASTQC/Salmon/etc. X X
05.11.2018 Mark edgeR+friends 1 basic edgeR/voom
12.11.2018 Mark edgeR+friends 2 GLM/DEXSeq
19.11.2018 Mark single-cell dim. reduction + clustering; FDR conquer
26.11.2018 Lukas hands-on session #2: cytometry cytof null comparison X X
03.12.2018 Hubert classification MLInterfaces
10.12.2018 Mark loose ends: HMM, EM, robustness segmentation, peak finding
17.12.2018 Mark hands-on session #3: single-cell RNA-seq full scRNA-seq pipeline X X

Useful Links

Simply Statistics blog
Getting Genetics Done blog
Omics Omics blog

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/sta426hs2018/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'.

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