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Semester | fall semester 2022 |
Course frequency | Every fall sem. |
Lecturers |
Knut Drescher (knut.drescher@unibas.ch)
Richard Neher (richard.neher@unibas.ch) Erik van Nimwegen (erik.vannimwegen@unibas.ch, Assessor) Mihaela Zavolan (mihaela.zavolan@unibas.ch) |
Content | New measurement technologies have transformed biology into a data rich science. Quantitative analysis and mathematical models are needed to make sense of these data and reach a better, more predictive understanding of biological systems. Such understanding often depends on identifying how biology is constrained by the laws of physics and how it exploits self-organization principles. In this course, we will review how ideas and concepts from physics have helped understanding biological systems by discussing landmark papers in the field. Topics that will be covered include quantitative laws in genome evolution, regulatory circuits for gene regulation and their specific behaviors, the role of gene expression noise, bacterial growth laws, regulatory principles in metazoan development, and application of maximum entropy and information theory principles to biological problems from protein structure to development. Pre-requisites are a good mathematical background (linear algebra, dynamical systems) as well as a basic background in biology. |
Weblink | Graduate Teaching Program |
Admission requirements | Prerequisites: - solid mathematical background - programming skills - biological background - lectures: Computational Biology I and II: desirable |
Language of instruction | English |
Use of digital media | Online, optional |
Interval | Weekday | Time | Room |
---|---|---|---|
wöchentlich | Monday | 10.15-12.00 | - Online Präsenz - |
wöchentlich | Monday | 13.15-14.00 | - Online Präsenz - |
Date | Time | Room |
---|---|---|
Monday 26.09.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 03.10.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 03.10.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 10.10.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 10.10.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 17.10.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 17.10.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 24.10.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 24.10.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 31.10.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 31.10.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 07.11.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 07.11.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 14.11.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 14.11.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 21.11.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 21.11.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 28.11.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 28.11.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 05.12.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 05.12.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 12.12.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 12.12.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Monday 19.12.2022 | 10.15-12.00 | - Online Präsenz -, -- |
Monday 19.12.2022 | 13.15-14.00 | - Online Präsenz -, -- |
Modules |
Cycle E: Computational and Systems Biology (Master's Studies: 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) Kernfächer und Seminar (Master's Studies: Computational Biology and Bioinformatics) Module Specialisation: Molecular Biology (Master's Studies: Nanosciences) |
Assessment format | continuous assessment |
Assessment details | The overall result (pass/fail) is based on the performance in the exercises. |
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 |