Training materials
Scientific topics: Bioinformatics
and Target audience: beginner bioinformaticians
and Include broken links: true
2 materials found
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Scientific topic
- Bioinformatics
- Algorithms2
- Computer programming2
- Data structures2
- Programming languages2
- Software development2
- Software engineering2
- Bayesian methods1
- Biostatistics1
- Cloud computing1
- Computer science1
- Data analysis1
- Data architecture1
- Data architecture, analysis and design1
- Data design1
- Descriptive statistics1
- Exomes1
- Exometabolomics1
- Gaussian processes1
- Genome annotation1
- Genomes1
- Genomics1
- HPC1
- High performance computing1
- High-performance computing1
- Image1
- Image data1
- Inferential statistics1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based untargeted metabolomics1
- Markov processes1
- Mass spectrometry-based metabolomics1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- MicroRNA sequencing1
- Multivariate statistics1
- NMR-based metabolomics1
- Personal genomics1
- Probabilistic graphical model1
- Probability1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Synthetic genomics1
- Transcriptome profiling1
- Viral genomics1
- WTSS1
- Whole genomes1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
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Content provider
- GOBLET2
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Competency level
- Not specified2
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Target audience
- beginner bioinformaticians
- Scientific community26
- PhD students18
- Clinicians13
- Biologists8
- Bioinformaticians5
- Life Science Researchers5
- Researchers5
- Students5
- PhD Students4
- bioinformaticians4
- Bioinformatician3
- Biomedical researchers3
- Scientists3
- Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities2
- Beginner2
- Biologists with little or no prior computational experience2
- Biologists, Genomicists, Computer Scientists2
- Graduate students2
- PhD candidates2
- Trainers2
- post-docs2
- All postgraduates1
- Anyone interested in bioinformatics1
- Beginner informatics1
- Beginners1
- Beginners in statistics1
- Bench biologists1
- Bioinformatician, Bioanalysts1
- Biologists and bioinformaticians1
- Biologists interested in learning about RNA-seq1
- Computational biologists1
- Curators1
- Data Access Committeses from the EGA1
- Data Managers1
- Data Scientists1
- Data scientists1
- Data stewards1
- Developers1
- Early Career Researcher1
- General Interest1
- Graduate Students1
- Life Scientists1
- Life sciences1
- Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
- Master students1
- Microbiologists1
- PI1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- PhD students in Genomics datascience1
- Post Docs1
- Post docs1
- Postdoctoral researchers1
- Principal Investigators1
- Principal Investigators (PIs)1
- Professors1
- Public Health Professionals1
- Researcher1
- Researcher in life sciences1
- Researchers and bioinformaticians in other projects interested in depositiong data at the EGA1
- Researchers and bioinformaticians involved in the VEIS project1
- Software providers1
- Undergraduate students1
- modelers1
- mololecular cell biologists1
- plant researchers1
- systems biologists1
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