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- ELIXIR Portugal1
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- Workshops and courses1
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- Portugal
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- Pedro Fernandes1
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- ELIXIR1
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Target audience
- students
- Life Science Researchers7
- PhD students7
- Researchers4
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- bioinformaticians3
- Academics2
- 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
- Microbiologists1
- Postdoctoral Researchers1
- Postdoctoral students1
- Scientists1
- This course is intended for PhD students of Portuguese and international institutions (with a particular focus on students of the CIBIO-InBIO’s BIODIV, SUSFOR Doctoral Programs and University of Porto), but more experienced researchers that are initiating projects in the field of environmental metagenomics can also participate. Prerequisite knowledge No previous bioinformatics experience is required, but an undergraduate level understanding of biology would be an advantage. 1
- 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
- healthcare professionals 1
- life scientists1
- 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
- postdoctoral researchers1
- software developers, bioinformaticians1
- teachers1
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- Registration of interest1
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