Date :
Place : Germany, Heidelberg
Contact Person:Iva Gavran
Description:
This course is aimed at graduate students and other researchers in the life sciences who would like to learn good practices in project and data organisation and computational data analysis with R.Deadline for abstracts/proposals : 4th November 2024
Organized By :
Keynote Speakers :
Conference Highlights :Computing skills for reproducible research: software carpentry – Course and Conference Office
EMBL Course
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 but 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 doing steps manually or 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 course is aimed at researchers in the life sciences who wish to use or design analysis pipelines on individual or clusters of computers. The target learner 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 or Nextflow is (or at least are not very comfortable using them), you may be the perfect fit for this workshop.
After the workshop, participants will be able to:
Check the event website for more details.