Training materials
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and Scientific topics: MS-based targeted proteomics
and Contributors: Computational Biology and Bioinformatics at UCLouvain
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Scientific topic
- MS-based targeted proteomics
- Bottom-up proteomics2
- Discovery proteomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- Peptide identification2
- Protein and peptide identification2
- Proteomics2
- Quantitative proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Active learning1
- Bayesian methods1
- Biostatistics1
- Chromosome walking1
- Clone verification1
- Comparative transcriptomics1
- DNA-Seq1
- DNase-Seq1
- Descriptive statistics1
- Ensembl learning1
- Gaussian processes1
- High throughput sequencing1
- High-throughput sequencing1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- MicroRNA sequencing1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- Neural networks1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Primer walking1
- Probabilistic graphical model1
- Probability1
- R1
- R program1
- R script1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Recommender system1
- Reinforcement learning1
- Sanger sequencing1
- Sequencing1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Targeted next-generation sequencing panels1
- Transcriptome1
- Transcriptome profiling1
- Transcriptomics1
- Unsupervised learning1
- WTSS1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
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Content provider
- Glittr.org2
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Difficulty level
- Not specified2
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Contributor
- Computational Biology and Bioinformatics at UCLouvain
- Instituto Gulbenkian de Ciência2
- The Gulbenkian Training Programme in Bioinformatics2
- Charlotte Soneson1
- Health Data Science Sandbox1
- Janick Mathys1
- Koen Van den Berge1
- Laurent Gatto1
- Lieven Clement1
- Martin Morgan1
- Oliver Crook1
- statOmics1
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