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Computational Science
content of 'B.Sc./M.Sc. Studiengang Computational Science | Informatik in den Naturwissenschaften'
www.uni-regensburg.de/physik/computational-science/index.html
Journal Club
Statistical Bioinformatics - JOURNAL CLUB [2018]
We meet weekly on Tuesdays, 9:30 in the institute's seminar room
| 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 |
Loss-function learning for digital tissue deconvolution |
30.01. |
Simon Gross(OTH Regensburg) |
Influence of Fatigue on Muscle Recruitment Pattern |
06.02. |
Rudolf Schill |
Mutual Hazard Networks |
13.02. |
Microarray Course |
~ ~ ~ cancelled ~ ~ ~ |
20.02. |
Gunther Glehr |
Identification of a miRNA based model to detect prognostic subgroups in patients with DLBCL [talk] [quality report] |
27.02. |
e:Med |
~ ~ ~ consortium meeting ~ ~ ~ |
06.03. |
Victoria-Marie Rothe |
MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads [paper] [talk] |
13.03. |
Julia Roigk |
Defect Probability in InkJet Printing |
20.03. |
Maximilian Aurbach(OTH Regensburg) |
EMG basierte Diagnose - Algorithmen für die Detektion von musculoskeletalen Schultererkrankungen |
27.03. |
Alexandra Holler
|
DNA Methylation Patterns in the BALB-neuT Breast Cancer Mouse Model [Master thesis, final report] |
03.04. |
Easter Break |
~ ~ ~ cancelled ~ ~ ~ |
10.04. |
Christoph Kopp |
Presentation - Bachelor Thesis |
17.04. |
Maschinelles Lernen im Kontext von Verhaltens- und Umgebungs-Kontext | |
24.04. |
Stefan Hansch |
[Progress Report] |
01.05. |
public holiday |
~ ~ ~ cancelled ~ ~ ~ |
08.05. |
Thorsten Rehberg |
|
15.05. |
Christian Kohler
|
Multi-Container Orchestration with Kubernetes |
22.05. |
Pentecost |
~ ~ ~ cancelled ~ ~ ~ |
29.05. |
Claudio Lottaz
|
|
05.06. |
Michael AltenbuchingerHelena Zacharias |
|
12.06. |
Paul Heinrich |
Determination of celltype-specific gene expression form bulk data |
19.06. |
Martin Fahrenberger |
Adventures in Spatial Transcriptomics |
26.06. |
Marian Schön |
Optimizing DTD using FISTA |
03.07. |
e:Med |
~ ~ ~ consortium meeting ~ ~ ~ |
10.07. |
Rainer Spang |
Lecture on Writing: "Hedging" |
17.07. |
Michael Huttner |
|
24.07. |
Franziska Görtler |
|
31.07. |
Rudolf Schill |
|
01.08. - 07.09. |
summer break |
~ ~ ~ cancelled ~ ~ ~ |
11.09. |
Microarray Course |
~ ~ ~ cancelled ~ ~ ~ |
18.09. |
Stefan Hansch |
|
25.09. |
Thorsten Rehberg |
|
02.10. |
Christian Kohler |
|
09.10 |
Claudio Lottaz |
|
16.10. |
Michael Altenbuchinger |
|
23.10. |
Paul Heinrich |
|
30.10. |
Martin Fahrenberger |
|
06.11. |
Marian Schön |
|
13.11. |
Rainer |
|
20.11. |
Gunther Glehr |
|
27.11. |
TBA |
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
Loss-fInformation 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 |
webmaster.genomics -
11.07.2018 09:39 
