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- University of Cambridge Bioinformatics Training43
- iAnn1
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Scientific topic
- Transcriptomics
- Bioinformatics364
- Data rendering128
- Data visualisation128
- Data mining97
- Pattern recognition97
- Aerobiology82
- Behavioural biology82
- Biological rhythms82
- Biological science82
- Biology82
- Chronobiology82
- Cryobiology82
- Reproductive biology82
- Functional genomics48
- Comparative transcriptomics45
- Transcriptome45
- Biomedical research37
- Clinical medicine37
- Experimental medicine37
- General medicine37
- Internal medicine37
- Medicine37
- Exomes29
- Genome annotation29
- Genomes29
- Genomics29
- Personal genomics29
- Synthetic genomics29
- Viral genomics29
- Whole genomes29
- Active learning24
- Ensembl learning24
- Kernel methods24
- Knowledge representation24
- Machine learning24
- Neural networks24
- Recommender system24
- Reinforcement learning24
- Supervised learning24
- Unsupervised learning24
- Bottom-up proteomics21
- Discovery proteomics21
- MS-based targeted proteomics21
- MS-based untargeted proteomics21
- Metaproteomics21
- Peptide identification21
- Protein and peptide identification21
- Proteomics21
- Quantitative proteomics21
- Targeted proteomics21
- Top-down proteomics21
- Biological modelling17
- Biological system modelling17
- Systems biology17
- Systems modelling17
- Bioimaging14
- Biological imaging14
- Coding RNA14
- EST14
- Exons14
- Fusion genes14
- Fusion transcripts14
- Gene features14
- Gene structure14
- Gene transcript features14
- Gene transcripts14
- Introns14
- PolyA signal14
- PolyA site14
- Python14
- Python program14
- Python script14
- Signal peptide coding sequence14
- Transit peptide coding sequence14
- cDNA14
- mRNA14
- mRNA features14
- py14
- Epigenomics13
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Immunology12
- Computational pharmacology11
- Pharmacoinformatics11
- Pharmacology11
- Phylogenetics11
- DNA methylation10
- Epigenetics10
- Histone modification10
- Methylation profiles10
- Exometabolomics9
- LC-MS-based metabolomics9
- MS-based metabolomics9
- MS-based targeted metabolomics9
- MS-based untargeted metabolomics9
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Target audience
- Graduate students43
- Institutions and other external Institutions or...43
- Postdocs and Staff members from the University ...43
- <span style="color:#FF0000">After you have book...5
- if you are unable to attend any of the live ses...5
- including for registered university students.<s...5
- please email the Team as Attendance will be tak...5
- The module is suitable for researchers interest...3
- This workshop is aimed at researchers who wish ...1
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