Analysis of Genomics Data with R/Bioconductor (Spring 2024)

 

45038-01 – Lecture with exercises (2 CP) / Vorlesung mit Übungen (2 KP)

Wednesdays 14:15 - 16:00 (Biozentrum, Seminarraum U1.191)

 

No. Date Teacher Title Room Code, Datasets

1

28.02.2024

Athimed

2

06.03.2024

Charlotte

3

13.03.2024

Pan

4

20.03.2024

Pan

5

27.03.2024

Robert

6

03.04.2024

Florian

Exam 1

7

10.04.2024

Athimed

8

17.04.2024

Anastasiya

9

24.04.2024

Michael

01.05.2024

Tag der Arbeit

10

08.05.2024

Michael

ChIPSeq 2: Analysis workflow

11

15.05.2024

Florian

ATACSeq: QC, peak finding, differential accessibility

12

22.05.2024

Alex

Motifs: PWMs, prediction, motif enrichment

13

29.05.2024

Robert

Exam 2

You can download ICS Calendar file for this lecture series and import it in your calendar app.

Course Prerequisite

A basic knowledge of R is required for this course!
Review the content of lectures from the Introduction to R course before signing up.

R – Local Installation

  • It is recommended to have an up-to-date installation of R on your computer.
    Currently R version >= 4.3.2, available here.
    Note that an outdated version of R will be problematic for the course!
  • Together with it, we strongly recommend to have Rstudio installed too.
    If you have limited rights to install software on your computer, please contact your ITs before the course.

R – Rstudio Server

If a local installation is not possible on your computer, there is the possibility to use Rstudio server, a browser-based interface to a version of R running on a remote server. Here are the different options:

  • For people with an existing sciCORE account:
    • If not at the University, connect to University VPN using the Cisco client
    • Go to https://ood.scicore.unibas.ch
    • Log in with your Unibas username and password
  • For FMI members:
    • If not at the FMI, connect to VPN using the PulseSecure client
    • Go to http://rstudio.fmi.ch
    • Log in with your FMI username and password
  • Others: