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Keyword
- Proteomics
- Data management plan6
- Data managment plan3
- Bioinformatics2
- Assembly1
- Statistics1
- metabolic modelling, Genome, open-source software platform1
- Biodata, Bioinformatics, Biodata1
- Clinical oncology1
- Computational Pangenomics1
- Data analysis1
- Drug Targetting1
- EeLP1
- Gadgets, software 1
- General Linear Models1
- Genomics1
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
- Metagenomics1
- Training1
- Variant calling1
- cancer1
- chemotherapy1
- data management1
- data visualization1
- drug prioritization1
- eLearning1
- gene panels1
- genomics1
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Event type
- Workshops and courses2
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Country
- Portugal2
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Sponsor
- Oeiras Valley1
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Target audience
- 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.1
- PhD Students1
- 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
- computational and statistical techniques are used to identify and validate the causal links between targets1
- 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
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Eligibility
- Registration of interest2
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