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Journal Club

 Statistical Bioinformatics - JOURNAL CLUB [2018]

          We meet weekly on Tuesdays, 9:30 in the institute's seminar room

Journal Club archive: [2017] [2016] [2015] [2014] [2013] [2012]


Date Lecturer Topic

09.01.    

Michael Huttner

Bitcoin: A Peer-to-Peer Electronic Cash System

16.01.         

Franz Süss

(OTH Regensburg)

Die Auswirkung von Stress auf die Biomechanik des menschlichen Körpers

23.01.

Franziska Görtler

30.01.

Simon Gross 

(OTH Regensburg)    

Combined Experimental and Numerical Approach to Investigate Changes in Muscle Recruitment Pattern of the Back Muscles during Exhausting Exercise

06.02.

Rudolf Schill

13.02.

Microarray Course 

20.02.

Gunther Glehr 

27.02.

e:Med

 ~ ~ ~ consortium meeting ~ ~ ~

06.03.

Victoria-Marie Rothe

13.03.

Julia Roigk

20.03.

Maximilian Auerbach

(OTH Regensburg)

EMG basierte Diagnose - Algorithmen für die Detektion von musculoskeletalen Schultererkrankungen

27.03.

Alexandra Holler     

               

03.04.

Easter Break

~ ~ ~ cancelled ~ ~ ~

10.04.

Claudio Lottaz  

Kickoff - Summer Term 18

17.04.

Stefan Hansch

24.04.

Michael Altenbuchinger

01.05.

public holiday

08.05.

Thorsten Rehberg

15.05.

Christian Kohler

22.05.

Pentecost

~ ~ ~ cancelled ~ ~ ~

29.05.

Pentecost

~ ~ ~ cancelled ~ ~ ~

05.06.

Marian Schön

12.06.

Paul Heinrich

19.06.

Martin Fahrenberger

26.06.

Rainer Spang



Genomische Datenanalyse

Information and material for the microarray workshop

Genomische Datenanalyse

 

  Lecture Practical
Room check information in VVZ #57046 check information in VVZ #57046
Tutor Rainer Spang

 

Description

The workshop provides an introduction to the analysis of genomic data. The analysis of microarray data sets is practiced using the statistical software R and Bioconductor.

 

Schedule

Lecture  Mo-Fr  10:00h - 12:00h (st)
Practical  Mo-Fr  13:00h - 18:00h (st)

 

Outlook

Day Lecture Practical
1 Introduction into Microarray Analysis A gentle Introduction into R
2 Microarray Normalization Quality Control and Normalization
3 Screening Differential Geneexpressionanalysis
4 Clustering Clustering
5 Classification Classification

More informations and PDF files:

Programming with R

Literature


RNA Sequencing

Information and material for the RNA-Seq workshop

RNA-Seq Workshop

 

  Lecture Practical
Room Seminar room
Biopark I - 2.OG
check information in VVZ #57045
Tutor N.N.

 

Description

This course provides an introduction into the analysis of next-generation seqencing data for transcriptomic studies (RNA-Seq). It covers alignment algorithms, methods for finding differentially expressed genes and transcripts and retrieving annotation data from public sources. During the exercises the participants work with real sequence data and applied open source command line tools as well as work within the statistical software environment R and Bioconductor.

Please read the introduction before the course:

http://www.stat.cmu.edu/~larry/all-of-statistics/=R/Rintro.pdf

If you are a RIGeL graduate student you receive 1,5 Credit points for this course. You can find all information on the Homepage of RIGeL.

 

Schedule

Lecture  Mo-Fr  09:30h - 11:30h (st)
Practical  Mo-Fr  13:00h - 18:00h (st)

 

Outlook

Day Lecture Practical
1 Introduction into second-generation sequencing and RNA-seq First steps in sequence data analysis
2 Sequence alignment theory Sequence alignment, play with aligned data
3 Assessing differential expression DESeq2 tutorial (differential expression)
4 Genome features and annotation DEXSeq tutorial (alternative splicing) and retrieving sequence and annotation with Bioconductor
5 Detecting mutations with RNA-seq Detecting and annotating mutations with RNA-seq tutorial

  1. Department of Medicine
  2. Institute for Funtional Genomics

Teaching Statistical Bioinformatics

 

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