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  • European Bioinformatics Institute (EBI)9
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• • Keyword
  • IntAct Molecular Interaction Database7
  • Complex Portal3
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• • Scientific topic
  • Biological modelling2
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• • Event type
  • Workshops and courses9
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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
  • The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantify peptides and finally to obtain lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected.1
  • 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 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 workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia. No knowledge of programming is required, but an undergraduate level knowledge of biology or molecular biology would be useful.1
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• • Node
  • EMBL-EBI9
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• • Instructor
  • Birgit Meldal
  • Janick Mathys31
  • Wandrille Duchemin31
  • 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
  • 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
  • Rahuman Sheriff6
  • Rossana Zaru6
  • Sam Holt6
  • Sarah Morgan6
  • Ugis Sarkans6
  • Eliot Ragueneau5
  • Gerard Kleywegt5
  • Guillaume Bourque5
  • 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
  • Dona Shaju4
  • Elisabeth Gasteiger4
  • Fabio Madeira4
  • Finlay Maguire4
  • Fiona Brinkman4
  • Frédéric Bastian4
  • James Collier4
  • 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
  • Tatiana Woller4
  • 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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