Training materials
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and Contributors: Instituto Gulbenkian de Ciência
and Scientific topics: MS-based targeted proteomics
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Scientific topic
- MS-based targeted proteomics
- Bayesian methods4
- Biostatistics4
- Descriptive statistics4
- Gaussian processes4
- Inferential statistics4
- Markov processes4
- Multivariate statistics4
- Probabilistic graphical model4
- Probability4
- Statistics4
- Statistics and probability4
- Bottom-up proteomics2
- Comparative transcriptomics2
- Discovery proteomics2
- Exomes2
- Genome annotation2
- Genomes2
- Genomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- MicroRNA sequencing2
- Peptide identification2
- Personal genomics2
- Protein and peptide identification2
- Proteomics2
- Quantitative proteomics2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Synthetic genomics2
- Targeted proteomics2
- Top-down proteomics2
- Transcriptome2
- Transcriptome profiling2
- Transcriptomics2
- Viral genomics2
- WTSS2
- Whole genomes2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- Chromosome walking1
- Clone verification1
- Comparative genomics1
- DNA-Seq1
- DNase-Seq1
- High throughput sequencing1
- High-throughput sequencing1
- NGS1
- NGS data analysis1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Primer walking1
- Python1
- Python program1
- Python script1
- Sanger sequencing1
- Sequencing1
- Targeted next-generation sequencing panels1
- py1
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Content provider
- Glittr.org2
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Keyword
- Proteomics2
- Python1
- R1
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Difficulty level
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Contributor
- Instituto Gulbenkian de Ciência
- Computational Biology and Bioinformatics at UCLouvain2
- The Gulbenkian Training Programme in Bioinformatics2
- Andrea Argentini1
- Björn Grüning1
- Frederik Coppens1
- Galaxy Project1
- Hana Pergl Sustkova1
- Health Data Science Sandbox1
- Marek Vrbacky1
- Martin Hubalek1
- Matthias Fahrner1
- Melanie Foell1
- Melanie Föll1
- Pavel Dvorak1
- PickyBinders1
- statOmics1
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