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- Workshops and courses3
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Target audience
- This course is aimed at advanced PhD students and post-doctoral researchers who are currently working with large-scale omics datasets with the aim of discerning biological function and processes. Ideal applicants should already have some experience (ideally 1-2 years) working with systems biology or related large-scale multi-omics data analyses. Applicants are expected to have a working knowledge of the Linux operating system and the ability to use the command line. Experience of using a programming language (i.e. Python) is highly desirable, and while the course will make use of simple coding or streamlined approaches such as Python notebooks, higher levels of competency will allow participants to focus on the scientific methodologies rather than the practical aspects of coding and how they can be applied in their own research. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Python turorial: https://www.w3schools.com/python/ R tutorial: https://www.datacamp.com/courses/free-introduction-to-r Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.1
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Eligibility
- First come first served1
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Instructor
- Anne-Laure Boulesteix1
- Aurelien Dugourd1
- Birgit Meldal1
- Dmytro Fishman1
- Evangelia Petsalaki1
- Federica Eduati1
- Girolamo Giudice1
- Javier De Las Rivas1
- John Fozard1
- Julio Saez Rodriguez1
- Kalpana Paneerselvam1
- Konrad Förstner1
- Leo Parts1
- Manik Garg1
- Nataša Pržulj1
- Rea Laila Antoniou-Kourounioti1
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