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- European Bioinformatics Institute (EBI)4
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Scientific topic
- Active learning1
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Event type
- Workshops and courses4
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- United Kingdom1
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Target audience
- The course is aimed at individuals working in immunology research who have minimal experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their skills and knowledge further. Participants will need a basic knowledge of the Unix command line, and the R statistical package. We recommend these free tutorials: Introduction to the Unix environment – http://www.ee.surrey.ac.uk/Teaching/Unix/ Basic R concepts – http://www.r-tutor.com/r-introduction1
- 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
- This course is aimed at advanced PhD students, post-doctoral researchers, and non-academic scientists 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 tutorial: 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 to prepare for attending the course and future work in this area. Selected participants will also be sent materials prior to the course. These might include pre-recorded talks and required reading that will be essential to fully understand the course.1
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists/bioinformaticians who wish to gain a better knowledge of the biological challenges presented when working with integrated datasets. Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
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Instructor
- Aurelien Dugourd
- Aleena Mushtaq29
- Benjamin Moore18
- David Armstrong17
- Michal Szpak17
- Nancy George17
- Birgit Meldal15
- Sarah Morgan14
- Tom Hancocks14
- Alexandra Holinski13
- Baron Koylass13
- Emily Perry13
- Anna Swan12
- Dayane Rodrigues Araujo12
- Sam Holt12
- Kalpana Panneerselvam11
- Lee Larcombe11
- Alex Bateman10
- Alexandre Bonvin10
- Krishna Kumar Tiwari10
- Lorna Richardson10
- Rossana Zaru10
- Wendi Bacon10
- Louisse Paola Mirabueno9
- Osman Salih9
- Rahuman Sheriff9
- Silvie Fexova9
- Thawfeek Mohamed Varusai9
- Typhaine Paysan-Lafosse9
- Ajay Mishra8
- Alexey Larionov8
- Andrew Hercules8
- Cath Brooksbank8
- Eliot Ragueneau8
- Fabio Madeira8
- Hema Bye-A-Jee8
- Emily Bowler-Barnett7
- Gerard Kleywegt7
- Livia Perfetto7
- Nandana Madhusoodanan7
- Pablo Porras Millan7
- Piraveen Gopalasingam7
- Tobias Rausch7
- Ugis Sarkans7
- Francesco Iorio6
- Nikiforos Karamanis6
- Patricia Carvajal Lopez6
- Pedro Raposo6
- Sandra Orchard6
- Astrid Gall5
- Attilio Vittorio Vargiu5
- Blake Sweeney5
- Giuliano Malloci5
- James Stephenson5
- Jonathan Manning5
- Julia Foreman5
- Maira Ihsan5
- Pablo Moreno5
- Paul Denny5
- Piv Gopalasingam5
- Sarah Butcher5
- Thawfeek Varusai5
- Alessandra Villa4
- Anton Petrov4
- Chris Quince4
- Denise Carvalho-Silva4
- Dona Shaju4
- Erin Haskell4
- Evangelia Petsalaki4
- George Georghiou4
- Girolamo Giudice4
- Gun Antonia Nilsson Lock4
- Henning Hermjakob4
- Irene Papatheodorou4
- Johannes Griss4
- Josephine Burgin4
- Juan Antonio Vizcaino4
- Kalpana Paneerselvam4
- Kostas Billis4
- Leanne Haggerty4
- Lennart Martens4
- Liis Kolberg4
- Marton Olbei4
- Mathieu Bourgey4
- Michele Magrane4
- Peter McQuilton4
- Preeti Choudhary4
- Ricard Argelaguet4
- Sara Rocio Chuguransky4
- Simon Andrews4
- Summer Rosonovski4
- Varsha Kale4
- Vera Matser4
- Vytautas Gapsys4
- Yasset Perez-Riverol4
- Yvonne Lussi4
- Zhichao Miao4
- Adam Hospital3
- Adrian Turjanski3
- Alex Mitchell3
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