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Keyword
- Bioinformatics10
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Scientific topic
- Theoretical biology
- Bioinformatics1085
- Genome annotation289
- Exomes286
- Genomes286
- Genomics286
- Personal genomics286
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- Viral genomics286
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- Bottom-up proteomics145
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- Protein and peptide identification145
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- Top-down proteomics145
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- High-throughput sequencing35
- Chromosome walking34
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Venue
- European Bioinformatics Institute, Hinxton4
- Lab-14, VLSCI3
- Crowne Plaza Hunter Valley1
- Dipartimento di Scienze Biochimiche - Alessandro Rossi Fanelli, 332, Viale Regina Elena1
- EMBL-EBI South Building and ELIXIR Hub1
- Escuela Técnica Superior de Ingeniería Informática, 35, Bulevar Louis Pasteur1
- Hotel Montanyà, Avda. Montseny, s/n1
- La Pedrera, 92, Passeig de Gràcia1
- Lab-14 Seminar Space, VLSCI1
- Meyerhofstraße 11
- Online1
- Provinciehuis, Provincieplein 1, Leuven1
- UAntwerp - Campus Middelheim 1 Middelheimlaan 2020 Antwerpen Belgium Downing Site Downing Street Cambridge CB2 3EA United Kingdom1
- University of Liverpool1
- University of Melbourne1
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Target audience
- Anyone intersted in GWAS and using the H3Africa genotyping chip3
- Biologists3
- Researchers3
- Computational biologists2
- Life Science Researchers2
- bioinformaticians2
- Anyone who wants to learn more about GWAS1
- Bioinformatician1
- Bioinformaticians1
- Bioinformatics beginners 1
- Biologists, Genomicists, Computer Scientists1
- Clinical Scientists1
- Computer science1
- Early Career Researcher1
- Experience from previous years has led to preference being given to candidates who: are doctoral candidates in the early to middle stages of their thesis research already have some familiarity with phylogenetic methods (i.e. have already used some of the relevant tools) have already collected/assembled a molecular sequence dataset to analyze in their work have experience of working in a Unix/Linux command-line environment We will also select a small number of participants that already work in bioinformatics labs, to intensify collaboration between early career stage biologists and bioinformaticians. Applicants from labs with a strong focus on computational molecular evolution methodology need to carefully outline their motivation for attending the course in this context, since they have ready access to expert supervision and are likely to be very skilled already in the topics we teach, or are in the course of becoming very skilled therein. The course is also suitable for established researchers who would like to refresh their memory of modern statistical methods for phylogenetic analysis of genomic sequence data and to interact with developers of such methods.1
- PhD students1
- Postdoctoral students1
- This course is aimed at both new and established investigators who lead a research team which currently uses bioinformatics, or where bioinformatics will be a component in future research. No prior knowledge of bioinformatics, or experience of analysis is required for this course.1
- life scientists1
- software developers, bioinformaticians1
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