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Content provider
- ELIXIR Portugal11
- BioData.pt7
- ELIXIR Slovenia1
- NanoCommons1
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Keyword
- Data managment plan3
- EeLP2
- Proteomics2
- data stewardship2
- eLearning2
- Assembly1
- metabolic modelling, Genome, open-source software platform1
- Biodata, Bioinformatics, Biodata1
- Bioinformatics1
- Computational Biology1
- Data Management1
- Data analysis1
- Data management1
- Data management plan1
- Data sharing1
- FHIR1
- Gadgets, software 1
- General Linear Models1
- Genomics1
- Healthcare1
- Integrative1
- Interoperability1
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
- Mass Spectroscopy1
- Teaching1
- Training1
- advanced cellular models1
- adverse outcome pathway1
- bioinformatics1
- cancer1
- chemotherapy1
- data FAIRness1
- data annotation1
- data management1
- data visualization1
- drug prioritization1
- electronic lab notebook1
- gene panels1
- genomics1
- in silico prediction1
- life sciences1
- molecular initiating events1
- nanosafety assessment1
- protein corona formation1
- research data management1
- training1
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Scientific topic
- Bioinformatics5
- Data management5
- Metadata management5
- Research data management (RDM)4
- Bayesian methods2
- Biostatistics2
- Descriptive statistics2
- Exomes2
- FAIR data2
- Findable, accessible, interoperable, reusable data2
- Gaussian processes2
- Genome annotation2
- Genomes2
- Genomics2
- Inferential statistics2
- Markov processes2
- Multivariate statistics2
- Personal genomics2
- Probabilistic graphical model2
- Probability2
- Statistics2
- Statistics and probability2
- Synthetic genomics2
- Viral genomics2
- Whole genomes2
- Active learning1
- Biomarkers1
- Biotherapeutics1
- Cancer1
- Cancer biology1
- Data curation1
- Data provenance1
- Data submission, annotation, and curation1
- Database curation1
- Diagnostic markers1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neoplasm1
- Neoplasms1
- Neural networks1
- Oncology1
- Proteogenomics1
- Recommender system1
- Reinforcement learning1
- Supervised learning1
- Unsupervised learning1
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Operation
- Allele calling1
- Classification1
- Clustering1
- Data handling1
- Empirical Bayes1
- Exome variant detection1
- File handling1
- File processing1
- Genome variant detection1
- Germ line variant calling1
- Mathematical modelling1
- Modelling and simulation1
- Mutation detection1
- Principal component analysis1
- Processing1
- Report handling1
- Somatic variant calling1
- Statistical inference1
- Statistical modelling1
- Utility operation1
- Variant calling1
- Variant mapping1
- Variant pattern analysis1
- Variant prioritisation1
- de novo mutation detection1
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Venue
- Instituto Gulbenkian de Ciência4
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande4
- University of Minho - Campus of Gualtar, Rua da Universidade2
- Champalimaud Foundation, Avenida Brasília1
- Faro1
- INESC, 9 Rua Alves Redol1
- ITQB NOVA, Avenida da República1
- ITQB NOVA, Avenida da República1
- Instituto Gulbenkian de Ciência, Oeiras, PT1
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
- International Nanotechnology Laboratories - INL1
- Lisbon School of Medicine, Egas Moniz Building, Av. Prof. Egas Moniz1
- Online and F2F (See details in training documentation)1
- R. Q.ta Grande 6, 6, Rua Quinta Grande1
- Rua da Quinta Grande, 61
- Universidade do Algarve - Campus de Gambelas1
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Organizer
- Pedro Fernandes8
- BioData.pt3
- BioData.pt | ELIXIR Portugal2
- BioData.pt, ITQB NOVA2
- BioData.pt, CCMAR - Centre for Marine Sciences1
- BioData.pt, iMM - Instituto de Medicina Molecular João Lobo Antunes1
- Biodata.pt1
- Biodata.pt; Congento; RNEM - Portuguese Mass Spectrometry Network1
- ELIXIR PT, Instituto Gulbenkian1
- Instituto Gulbenkian, ELIXIR Portugal, GOBLET1
- Rita Castilho, Center for Marine Sciences1
- Universidade do Minho1
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Target audience
- Life Science Researchers7
- PhD students6
- Researchers5
- Master students3
- Technicians3
- 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
- bioinformaticians2
- post-docs2
- 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
- Researchers in Life Sciences1
- health professionals1
- studies human diseases or developmental biology1
- Biomedical researchers1
- Clinical Scientists1
- Industry1
- PhD candidates1
- Postdoctoral Researchers1
- Research Assistants and Research Associates1
- Researcher in life sciences1
- Scientists1
- 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
- software developers, bioinformaticians1
- students1
- teachers1
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Language
- English1
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