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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 research34
- Clinical medicine34
- Experimental medicine34
- General medicine34
- Internal medicine34
- Medicine34
- Exomes29
- Genome annotation29
- Genomes29
- Genomics29
- Personal genomics29
- Synthetic genomics29
- Viral genomics29
- Whole genomes29
- Active learning23
- Ensembl learning23
- Kernel methods23
- Knowledge representation23
- Machine learning23
- Neural networks23
- Recommender system23
- Reinforcement learning23
- Supervised learning23
- Unsupervised learning23
- Bottom-up proteomics22
- Discovery proteomics22
- MS-based targeted proteomics22
- MS-based untargeted proteomics22
- Metaproteomics22
- Peptide identification22
- Protein and peptide identification22
- Proteomics22
- Quantitative proteomics22
- Targeted proteomics22
- Top-down proteomics22
- Biological modelling18
- Biological system modelling18
- Systems biology18
- Systems modelling18
- 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
- Computational pharmacology11
- Immunology11
- Pharmacoinformatics11
- Pharmacology11
- DNA methylation10
- Epigenetics10
- Histone modification10
- Methylation profiles10
- Phylogenetics10
- Exometabolomics8
- LC-MS-based metabolomics8
- MS-based metabolomics8
- MS-based targeted metabolomics8
- MS-based untargeted metabolomics8
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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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