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- Workshops and courses5
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- The workshop is aimed at biologists and computer scientists in Latin American countries only (excluding Chile and Uruguay due to funding restrictions) wanting to learn the basics of network analysis and biological data cure for clinically relevant pathogens. Trainees should be undertaking research at postgraduate-level upwards focusing on infectious diseases. No previous experience using interaction data resources is needed. Please note this course will be taught in English, however the trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended the CABANA event yet. Researchers who apply for CABANA courses should have projects in one or more of the CABANA challenge areas (sustainable crop production, communicable diseases, protection of biodiversity). Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage. Prerequisites Participants will require a basic knowledge of the Unix command line, and the R statistical packages. 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 Basic R concept tutorials: 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 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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Instructor
- Alexandra Holinski2
- Birgit Meldal2
- Kalpana Panneerselvam2
- Lutz Brusch2
- Rahuman Sheriff2
- Thawfeek Varusai2
- Tomas Helikar2
- Adnan Malik1
- Adrian Turjanski1
- Alfonso Martinez Arias1
- Alfonso Martinez-Arias1
- Andre Fujita1
- Andreas Dräger1
- Artur Trancoso Lopo de Queiroz1
- Aurelien Luciani1
- Carmen Pin1
- Dario Fernández Do Porto1
- David Armstrong1
- Dayane Rodrigues Araujo1
- Deborah Harrus1
- Diego Jahn1
- Eliot Rageneau1
- Eliot Ragueneau1
- Elisa Passini1
- Emily Perry1
- Ernesto Perez-Rueda1
- Eva Geissen1
- Gaurhari Dass1
- Helder Nakaya1
- Henning Hermjakob1
- James Yates1
- Julieth Irene Murillo Silva1
- Jörn Starruß1
- Kalpana Paneerselvam1
- Kausthubh Ramachandran1
- Keeva Cochrane1
- Kiyoshi Fukutani1
- Krishna Kumar Tiwari1
- Markus Krummenacker 1
- Nancy George1
- Nandana Madhusoodanan1
- Pablo Ivan Pereira Ramos1
- Pablo Porras Millan1
- Paul Denny1
- Pedro Raposo1
- Peter Karp1
- Piv Gopalasingam1
- Rea Antoniou-Kourounioti1
- Robert Mueller1
- Rossana Zaru1
- Sara Rocio Chuguransky1
- Sara-Jane Dunn1
- Suzanne Paley1
- Thawfeek Mohamed Varusai1
- Typhaine Paysan-Lafosse1
- Ugis Sarkans1
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