Veranstaltung
| Titel | Biocomputing II - Advanced Python |
| Title | Biocomputing II - Advanced Python |
| Schwerpunkt/Focus | ÖEB ZPG |
| Sprache/Language | englisch |
| VV-Nr./Course No. | 132373 |
| Modulverantwortlich/Responsible | Prof. Dr. Erich Bornberg-Bauer |
| Vertreter/Co-responsible | Prof. Dr. Erich Bornberg-Bauer, Dr. Carsten Kemena-Rinke, Dr. Bharat Ravi, Dr. Matthew Merski |
| Anbieter/Teachers | Prof. Dr. Erich Bornberg-Bauer |
| Typ/Type | Praktikum + Seminar |
| SWS/Semerster periods per week | |
| Arbeitslast(h)/Work load | 150 h |
| KP/Credit points | 5 KP (8 KP für MEd HRSGe) |
| Zuordnung/Classification | Fortgeschrittenen-Modul |
| Semester/Semester | WiSe |
| Studierende/Students | MSc Biowissenschaften MSc Biotechnologie MSc Molekulare Biomedizin MEd HRSGe MEd GymGes MEd BK |
| Corona-Informationen/Corona-Information | |
| Zeit/Date | Block IV: 09.02.2026-06.03.2026 |
| Ort/Location | IEB, Institute for Evolution and Biodiversity, Hüfferstraße 1 |
| Beginn/Start | 09.02.2026 |
| Vorbesprechung/Obligatory pre-meeting | 25.11.2025 18:00, Sozialraum Hüfferstraße 1 |
| Voraussetzung/Prerequisite | N/A |
| Anmeldung/Registration | online |
| Leistungskontrollen/Performance assessments | Protokoll + Präsentation + Mitarbeit |
| Termine f. Leistungskontrollen/Date for performance assessments | |
| max. NP/Max. grade points | 200 NP |
| Ziele/Aims | Advanced programming in Python Handling and manipulating genomic and proteomic data Data analysis and visualisation |
| Inhalte/Content | Students will learn how to write powerful scripts to automatize repetitive tasks and analyze diverse datasets from disparate resources and interfacing more complex datasets and databases. The module includes a more comprehensive applied project using Python programming. Biocomputing II is aimed at students who are comfortable with Python scripting (or who have significant experience in another programming language) and who wish to extend their skills to more advanced topics and data analysis. Typically taken by a small number of students, and runs in parallel to Biocomputing I (same times and places). Requirements: willingness to learn, basic knowledge in molecular biology and Python (or good skills in some other programming language), abstract thinking, problem solving skills. |
| Methoden/Methods | Python programming File management and command line usage in a Linux environment |
| Berufsrelevante und interdisziplinäre Komponenten/Occupational and interdisciplinary skills | |
| Voraussetzung für/Prerequisite for | |
| Präsenzpflicht/Compulsory presence | Yes |
| Plätze/Number of participants | 10 |
| Gruppengröße/Group size | Nach Vereinbarung |
| Materialien/Materials | |
| Literatur/Literature | Stephen H.D. Haddock and Casey W. Dunn: Practical Computing for Biologists; ISBN-10: 0878933913; http://www.amazon.de/Practical-Computing-Biologists-Steven-Haddock/dp/0878933913 |
| Links | http://bornberglab.org/teaching |
| Sonstiges/Further information |
Modulelemente:
Elemente of the module:
| Titel/Title | Zeit (von...bis)/Time (from...to) | Ort(Raum)/Location | |
|---|---|---|---|
| Übungen/Practical exercises | |||
| Vorlesung/Lecture | |||
| Seminare/Semeinars | |||
| Exkursionen/Excursions |
= Modul gehört zum SPP Imoplant / Module is part of the SSP Imoplant
= Modul gehört zum SPP Evolution /Module is part of the SSP Evolution
= Modul gehört zum SPP Bioanalytics and Biochemistry /Module is part of the SSP Bioanalytics and Biochemistry
= Modul gehört zum SPP Neuroscience and Behaviour /Module is part of the SSP Neuroscience and Behaviour
= Modul gehört zum SPP Quantitative Cell Biology /Module is part of the SSP Quantitative Cell Biology