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45038-01 - Lecture with practical courses: Analysis of genomics data with R/Bioconductor (2 CP)
| Semester | spring semester 2018 |
| Course frequency | Every spring sem. |
| Lecturers |
Lukas Burger (lukas.burger@unibas.ch)
Sarah Carl (sarah.carl@unibas.ch) Florian Geier (florian.geier@unibas.ch) Robert Ivanek (robert.ivanek@unibas.ch, Assessor) Julien Roux (julien.roux@unibas.ch) Michael Stadler (michael.stadler@unibas.ch) |
| Content | The R/Bioconductor framework is the most widely used analysis tool for sequence based bioinformatics. The lecture gives an overview of typical Bioconductor based analysis pipelines including: - Microarray and NGS data processing - Differential gene expression analysis - Working with sequence and annotation packages - Programmatic access to public databases - Visualization of genomic data Each lecture is organized around one analysis question using publicly available data. It consist of 1 hour lecture and 1 hour hands on practical. Participants should bring along their laptops. Basic R knowledge is of an advantage. |
| Comments | Each session consists of 1 hour lecture and 1 hour computer exercise. Participants should bring along their laptops. Lecture with Papasaikas Panagiotis and Atul Sethi. |
| Weblink | Graduate Teaching Program |
| Admission requirements | Maximal number of participants: 60. Prerequisite: Successful participation in the course “Introduction to R (48662-01)” or comparable knowledge of R. Those who are not registered in MOnA (i.e. PostDocs) please send an email to robert.ivanek@unibas.ch directly to apply for the course. In case of more applicants we will give preference to students from DBM and FMI and PhD students. Please apply by January 21, 2018. The applications will be evaluated and accepted participants will be contacted by February 2, 2018. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Cycle E: Computational and Systems Biology (Master Molecular Biology) Doctorate Biochemistry: Recommendations (PhD subject: Biochemistry) Doctorate Biophysics: Recommendations (PhD subject: Biophysics) Doctorate Cell Biology: Recommendations (PhD subject: Cell Biology) Doctorate Computational Biology: Recommendations (PhD subject: Computational Biology) Doctorate Genetics: Recommendations (PhD subject: Genetics) Doctorate Microbiology: Recommendations (PhD subject: Microbiology) Doctorate Molecular Biology: Recommendations (PhD subject: Molecular Biology) Doctorate Neurobiology: Recommendations (PhD subject: Neurobiology) Doctorate Pharmacology: Recommendations (PhD subject: Pharmacology) Doctorate Structural Biology: Recommendations (PhD subject: Structural Biology) |
| Assessment format | continuous assessment |
| Assessment details | Students need to attend 80% of the course. Only 2 sessions can be missed. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Departement Biozentrum |