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- European Bioinformatics Institute (EBI)6
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Scientific topic
- Biological modelling3
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- Workshops and courses6
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- India1
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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 experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. A working knowledge of the Linux operating system and ability to use the command line or experience of using a programming language (e.g Python) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial.1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. Priority will be given to applicants from low and middle income countries - however applications are open to candidates from all over the world.1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.1
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Instructor
- Rahuman Sheriff
- Janick Mathys32
- Wandrille Duchemin32
- Aleena Mushtaq27
- Geert van Geest15
- Michal Szpak15
- Robin Engler15
- Benjamin Moore12
- Emily Perry12
- Tania Wyss Lozano12
- True Colours12
- Wendi Bacon11
- Gustavo Ruiz Buendia10
- Nancy George10
- Birgit Meldal9
- Kalpana Panneerselvam9
- Thuong Van Du Tran9
- Typhaine Paysan-Lafosse9
- Agnes Uhereczky8
- Anna Swan8
- David Armstrong8
- Dayane Rodrigues Araujo8
- Louisse Paola Mirabueno8
- Alexandra Holinski7
- Baron Koylass7
- Emily Bowler-Barnett7
- Alexandre Bonvin6
- Andrew Hercules6
- Bruna Piereck6
- David Wishart6
- Markus Müller6
- Nandana Madhusoodanan6
- Rossana Zaru6
- Sam Holt6
- Sarah Morgan6
- Ugis Sarkans6
- Eliot Ragueneau5
- Gerard Kleywegt5
- Guillaume Bourque5
- James Collier5
- Lauren Erdman5
- Mathieu Bourgey5
- Melissa Davies5
- Osman Salih5
- Paul Denny5
- Pedro Raposo5
- Thawfeek Varusai5
- Tom Hancocks5
- William Hsiao5
- Ajay Mishra4
- Alex Bateman4
- Alexander Botzki4
- Alexey Larionov4
- Björn Grüning4
- Bérénice Batut4
- Daniela Brites4
- Deepak Tanwar4
- Dona Shaju4
- Elisabeth Gasteiger4
- Fabio Madeira4
- Finlay Maguire4
- Fiona Brinkman4
- Frédéric Bastian4
- James Stephenson4
- Jared Simpson4
- Johannes Griss4
- Jonathan Manning4
- Lee Larcombe4
- Lorna Richardson4
- Maira Ihsan4
- Marc Robinson-Rechavi4
- Matheus Lourenço4
- Nate Coraor4
- Patricia Carvajal Lopez4
- Philippe Le Mercier4
- Piv Gopalasingam4
- Rafael Riudavets Puig4
- Sara Rocio Chuguransky4
- Teresa Müller4
- Tobias Rausch4
- Varsha Kale4
- Veronique Voisin4
- Yvonne Lussi4
- Ahmed Hamid Awan3
- Alexey Sokolov3
- Amy LeBlanc3
- Andrew McArthur3
- Anna Syme3
- Anthony Bretaudeau3
- Antonin Thiebaut3
- Anup Kumar3
- Attilio Vittorio Vargiu3
- Aurelien Dugourd3
- Chris Quince3
- Christoph Stritt3
- Clea Siguret3
- Daniela Schneider3
- Dannon Baker3
- David Bujold3
- Deborah Harrus3
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