EMBL Courses and Conferences during the Coronavirus pandemic
With the onsite programme paused, many of our events are now being offered in virtual formats.
Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.
More information for participants of events at EMBL Heidelberg can be found here.
EMBL is committed to sharing research advances and sustaining scientific interaction throughout the coronavirus pandemic. We are delighted to announce that the course is going virtual and invite you to join us online.
Computation is an integral part of today’s research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing.
This is a course for researchers in the life sciences who are using computers or computing clusters for their analyses, even if not full time. The target student is familiar with some command line/programmatic computer usage, and wants to become more confident using these tools efficiently and reproducibly.
If you have written a for loop in some language before, but do not know what Git is (or at least are not very comfortable using it), you may be the perfect fit for this workshop.
- Introduction to scripting and basics of data analysis with Python
- Introduction to the Unix shell and cluster resource management
- Version control with Git and GitHub
- Multi-step analysis and pipeline management
- Literate programming with Jupyter notebooks
After the workshop, participants will be able to:
- write and organise their own scripts for data analysis
- use version control to keep track of, and revert changes to their files
- implement efficient and reproducible pipelines that combine multiple tools and scripts