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Organizer
- Pedro Fernandes8
- Cambridge Healthtech Institute5
- BioData.pt3
- Centro de Ciencias do Mar (CCMAR)3
- BioData.pt | ELIXIR Portugal2
- BioData.pt, ITQB NOVA2
- EUROPEAN MICROSCOPY SOCIETY2
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- BioData.pt, iMM - Instituto de Medicina Molecular João Lobo Antunes1
- BioExcel, NCC Portugal, University of Coimbra1
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- Biodata.pt; Congento; RNEM - Portuguese Mass Spectrometry Network1
- CHI1
- Cymon J. Cox, CCMAR1
- ELIXIR PT, Instituto Gulbenkian1
- European Bioinformatics Institute (EBI)1
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- Paulo Gavaia1
- Rita Castilho, Center for Marine Sciences1
- Univ. of Lisbon1
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Target audience
- PhD students8
- Life Science Researchers7
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- 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
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- 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.2
- Institutions and other external Institutions or individuals1
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- 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
- 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
- life scientists1
- oncologists1
- plant researchers1
- postdoctoral researchers1
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- students1
- teachers1
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