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- University of Cambridge Bioinformatics Training75
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Keyword
- HDRUK75
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Scientific topic
- Data mining
- Bioinformatics300
- Data rendering102
- Data visualisation102
- Aerobiology78
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- Functional genomics34
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- Active learning19
- Ensembl learning19
- Kernel methods19
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- Machine learning19
- Neural networks19
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- Bioimaging14
- Biological imaging14
- Coding RNA12
- EST12
- Exons12
- Fusion genes12
- Fusion transcripts12
- Gene features12
- Gene structure12
- Gene transcript features12
- Gene transcripts12
- Introns12
- PolyA signal12
- PolyA site12
- Signal peptide coding sequence12
- Transit peptide coding sequence12
- cDNA12
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- ChIP-exo10
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- DNA methylation8
- Epigenetics8
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- Methylation profiles8
- Exometabolomics6
- LC-MS-based metabolomics6
- MS-based metabolomics6
- MS-based targeted metabolomics6
- MS-based untargeted metabolomics6
- Mass spectrometry-based metabolomics6
- Metabolites6
- Metabolome6
- Metabolomics6
- Metabonomics6
- NMR-based metabolomics6
- Phylogenetics5
- Biomedical research4
- Clinical medicine4
- Codon usage4
- DNA chips4
- DNA microarrays4
- Data management4
- Experimental medicine4
- Expression4
- Gene expression4
- Gene expression profiling4
- Gene transcription4
- Gene translation4
- General medicine4
- Genotype4
- Genotype and phenotype4
- Genotype and phenotype resources4
- Genotype-phenotype4
- Genotype-phenotype analysis4
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Event type
- Workshops and courses75
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- United Kingdom75
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Organizer
- University of Cambridge75
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Target audience
- Institutions and other external Institutions or individuals75
- Postdocs and Staff members from the University of Cambridge75
- Graduate students74
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.13
- Researchers who are applying or planning to apply image analysis in their research4
- Researchers who want to extract quantitative information from microscopy images4
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics2
- but who have not perhaps put this into practice since.2
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of Cambridge1
- Affiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- BioImage Analysts with some experience of basic microscopy image analysis1
- Biophysicists1
- Cell Biologists1
- The course is aimed at biologists interested in microbiology1
- The course is open to Graduate students1
- The handson component is aimed at novice to intermediate users who are seeking detailed guidance with GATK and related tools.1
- The lecture based component of the workshop is aimed at a mixed audience of people who are new to the topic of variant discovery or to GATK1
- This course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.1
- This course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysis1
- analysis of complex microbiomes and antimicrobial resistance.1
- or who are already GATK users seeking to improve their understanding of and proficiency with the tools.1
- prokaryotic genomics1
- seeking an introductory course into the tools1
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Eligibility
- First come first served8
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