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Content provider
- ELIXIR Slovenia5
- ELIXIR Portugal2
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Scientific topic
- Cloud computing3
- Computer science3
- Exomes3
- Genome annotation3
- Genomes3
- Genomics3
- HPC3
- High performance computing3
- High-performance computing3
- Personal genomics3
- Synthetic genomics3
- Viral genomics3
- Whole genomes3
- Bioinformatics1
- Biomathematics1
- Computational biology1
- Data management1
- Mathematical biology1
- Metadata management1
- Theoretical biology1
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Event type
- Workshops and courses7
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Organizer
- ELIXIR Slovenia2
- CCMAR / BioData.pt1
- ELIXIR PT, Instituto Gulbenkian1
- ELIXIR-BE, ELIXIR-FR, ELIXIR-NO, ELIXIR-PT, ELIXIR-SE, ELIXIR-SI1
- Escuela Técnica Superior de Ingeniería Informática1
- Instituto Gulbenkian, ELIXIR Portugal, GOBLET1
- Pedro Fernandes1
- Rita Castilho, Center for Marine Sciences1
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Target audience
- Researchers
- PhD students14
- Life Science Researchers13
- Master students9
- Technicians9
- life scientists5
- bioinformaticians3
- Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.2
- Biologists, Genomicists, Computer Scientists2
- PhD Students2
- post-docs2
- Institutions and other external Institutions or individuals1
- Researchers in Life Sciences1
- health professionals1
- studies human diseases or developmental biology1
- Bioinformaticians1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
- Biomedical researchers1
- Clinical Scientists1
- Drug resistance1
- Graduate Students1
- Industry1
- Microbiologists1
- Postdoctoral Researchers1
- Scientists1
- This course is oriented towards biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
- This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.1
- biocurators1
- biology and bioinformatics sophomore undergraduates1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required.1
- experimental researchers and bioinformaticians at the graduate and post-graduate levels1
- healthcare professionals 1
- oncologists1
- plant researchers1
- post-doctoral researchers and principle investigators working in wet-lab biology. Participants who are looking for a basic introduction to the bioinformatics resources offered by the EMBL-EBI and want to know more about accessing biological data and tools.1
- software developers, bioinformaticians1
- students1
- teachers1
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