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Content provider
- University of Cambridge Bioinformatics Training86
- iAnn1
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Keyword
- HDRUK86
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Scientific topic
- Biology
- Bioinformatics360
- Data rendering128
- Data visualisation128
- Data mining97
- Pattern recognition97
- Aerobiology82
- Behavioural biology82
- Biological rhythms82
- Biological science82
- Chronobiology82
- Cryobiology82
- Reproductive biology82
- Functional genomics48
- Comparative transcriptomics44
- Transcriptome44
- Transcriptomics44
- Biomedical research33
- Clinical medicine33
- Experimental medicine33
- General medicine33
- Internal medicine33
- Medicine33
- Exomes23
- Genome annotation23
- Genomes23
- Genomics23
- Personal genomics23
- Synthetic genomics23
- Viral genomics23
- Whole genomes23
- Active learning22
- Ensembl learning22
- Kernel methods22
- Knowledge representation22
- Machine learning22
- Neural networks22
- Recommender system22
- Reinforcement learning22
- Supervised learning22
- Unsupervised learning22
- Bottom-up proteomics20
- Discovery proteomics20
- MS-based targeted proteomics20
- MS-based untargeted proteomics20
- Metaproteomics20
- Peptide identification20
- Protein and peptide identification20
- Proteomics20
- Quantitative proteomics20
- Targeted proteomics20
- Top-down proteomics20
- Biological modelling16
- Biological system modelling16
- Systems biology16
- Systems modelling16
- 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
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- Epigenomics11
- Computational pharmacology10
- Immunology10
- Pharmacoinformatics10
- Pharmacology10
- Phylogenetics10
- DNA methylation9
- Epigenetics9
- Histone modification9
- Methylation profiles9
- Exometabolomics8
- LC-MS-based metabolomics8
- MS-based metabolomics8
- MS-based targeted metabolomics8
- MS-based untargeted metabolomics8
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Target audience
- Graduate students84
- Institutions and other external Institutions or...84
- Postdocs and Staff members from the University ...84
- Existing R users who are not familiar with dply...8
- Those with programming experience in other lang...8
- but not essential as we will walk through a MS ...3
- Familiarity with mass spectrometry or proteomic...2
- The course is targeted to either proteomics pra...2
- pathways and diseases.2
- <span style="color:#FF0000">There is no fee cha...1
- The course is targeted to either proteomics pra...1
- The tutorial will be at an introductory level1
- The tutorial will be of interest to computation...1
- This course is suitable for all users who have ...1
- This course is suitable for all users who have ...1
- This course is suitable for anyone who has an i...1
- This course is suitable for anyone who has an i...1
- This is aimed for life scientists with little o...1
- but will also describe current research directi...1
- cellular models of disease and computational te...1
- computational and statistical techniques are us...1
- early stages of drug discovery. It is also usef...1
- produce or analyse large structured datasets.1
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Eligibility
- First come first served4
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