Teaching and Courses
Trainings and Workshops
ELN-Wiki Introduction Process
We accompany and support laboratories interested in starting to use ELN-Wiki on the way to the adoption of this new tool. A number of initial steps are taken to align the system with the goals of the group.
Contact us if your group is interested to enroll in ELN-Wiki.
ELN Wiki Workshop for Newcomers
This workshop is designed to bring group members that did not participate in the introductory training up to speed on using the ELN wiki. It's a compact format that in one go covers the organisational principles and the technical and usage aspects of the ELN Wiki.
The workshop is well-suited for anyone who is relatively new in the group, has perhaps gathered a bit of experience themselves already, but would like to strengthen their knowledge on how to best use the Wiki for laboratory documentation. The course covers the basic principles of how to navigate, edit, document in the wiki. There is also room for questions and answers, of course. This workshop complements but does not replace an introduction by your lab's power users, as each lab organizes itself in its own way within the ELN wiki.
The newcomer workshops are offered monthly, as long as enough participants sign up. If you're interested, please send an email to researchit-biozentrum(at)unibas .ch.
We organize refresher workshops with research groups that have been using the ELN-Wiki for some time, have grown beyond the first steps and now are ready to do more, or require help with how to best address specific requirements. At the same time, the refresher workshop is useful for those group members who have joined a lab since the ELN was introduced, and who might have additional questions.
The refresher courses are offered on-demand and according to the needs of the research group. If you're interested, please send an email to researchit-biozentrum(at)unibas .ch
Lectures listed in the University Course Directory
Fall Semester: 45249-01 - Vorlesung mit Übungen: Introduction to Python Programming for Structural & Quantitative Biology and Image Processing (1 KP)
- Day 1: Analysis of structural and biophysical data with Python. Numerical Python modules: NumPy, SciPy, Pandas. Data visualization: Matplotlib
- Day 2: Working with protein structures and sequences. Biopython, OpenStructure and PyMOL
- Day 3: Practical session. Ideally with application to participants' research projects
The course will cover the essentials of practical Python programming for structural biology. It is designed for PhD and MSc students who already have basic knowledge in Python programming and would like to learn how to enhance their skills to solve realistic cases in the field of structural biology.
The focus will be put on acquiring practical knowledge about Python modules relevant to structural biology, numerical analysis and visualization. The course days consist of an introductory presentation on the basic concepts and best practices, followed by practical exercises, during which participants can apply the acquired skills.
Fall Semester: 55622-01 - Vorlesung mit Übungen: Advanced Python Programming for Structural Biology (2 KP)
The course will cover the essentials of practical Python programming for structural biology. It is intended for PhD and MSc students with basic knowledge in Python programming, who would like to enhance their skills by solving realistic cases in the field of structural biology.
The course will present programming concepts and approaches to address problems from the fields of structural biology and biophysics and introduce useful code libraries to tackle these questions. The course will consist of short presentations, practical exercises and seminars. Throughout the course, active student participation and solving homework assignments will be required.