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Content provider
- INB: Spanish National Bioinformatics Institute1
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Keyword
- Artificial Intelligence1
- Bioinformatics1
- Computational Biology1
- Evolutinary genomics1
- Genomics1
- HPC1
- Imaging1
- Population Genomics1
- Sequence Analysis1
- Systems biology1
- Transcriptomics1
- algorithms1
- biomedical applications1
- clinical genomics1
- dynamic simulations1
- machine learning1
- mutational landscapes1
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Scientific topic
- Omics
- Data management13
- Exomes13
- Genome annotation13
- Genomes13
- Genomics13
- Metadata management13
- Personal genomics13
- Synthetic genomics13
- Viral genomics13
- Whole genomes13
- Bioinformatics11
- Cloud computing11
- Computer science11
- FAIR data11
- Findable, accessible, interoperable, reusable data11
- HPC11
- High performance computing11
- High-performance computing11
- Data curation4
- Data provenance4
- Data submission, annotation, and curation4
- Database curation4
- Biomathematics3
- Computational biology3
- Data clean-up3
- Data cleaning3
- Data integrity3
- Data quality3
- Data quality management3
- Mathematical biology3
- Theoretical biology3
- Active learning2
- Biomedical science2
- Biomedical sciences2
- Chemical informatics2
- Cheminformatics2
- Chemoinformatics2
- Comparative transcriptomics2
- Ensembl learning2
- Health science2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Transcriptome2
- Transcriptomics2
- Unsupervised learning2
- Bayesian methods1
- Biological modelling1
- Biological processes1
- Biological sequences1
- Biological system modelling1
- Biomarkers1
- Biome sequencing1
- Biostatistics1
- Bottom-up proteomics1
- Chromosome walking1
- Clone verification1
- Comparative genomics1
- Computational chemistry1
- DNA-Seq1
- DNase-Seq1
- Data governance1
- Data integration1
- Data integration and warehousing1
- Data rendering1
- Data stewardship1
- Data visualisation1
- Data warehousing1
- Descriptive statistics1
- Diagnostic markers1
- Diffraction experiment1
- Discovery proteomics1
- Drug discovery1
- Evolution1
- Evolutionary biology1
- Gaussian processes1
- High throughput sequencing1
- High-throughput sequencing1
- Imaging1
- Inferential statistics1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Marine biology1
- Markov processes1
- Metagenomics1
- Metaproteomics1
- Microscopy1
- Microscopy imaging1
- Molecular biology1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- Next gen sequencing1
- Next generation sequencing1
- Optical super resolution microscopy1
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Event type
- Meetings and conferences1
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Country
- Spain1
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Target audience
- Researchers
- Plant research2
- Computational biologists1
- Computer science1
- Graduate students1
- Institutions and other external Institutions or individuals1
- PhD students1
- Postdocs and Staff members from the University of Cambridge1
- Postdoctoral students1
- This course is intended for master and PhD students, post-docs and staff scientists familiar with different omics data technologies who are interested in applying machine learning to analyse these data. No prior knowledge of Machine Learning concepts and methods is expected nor required1
- biocurators1
- bioinformaticians1
- software developers, bioinformaticians1
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