- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- University of Cambridge Bioinformatics Training75
- Show N_FILTERS more
-
-
-
Keyword
- HDRUK75
- Show N_FILTERS more
-
-
-
Scientific topic
- Data mining
- Bioinformatics300
- Data rendering102
- Data visualisation102
- Aerobiology78
- Behavioural biology78
- Biological rhythms78
- Biological science78
- Biology78
- Chronobiology78
- Cryobiology78
- Reproductive biology78
- Pattern recognition75
- Functional genomics34
- Comparative transcriptomics31
- Transcriptome31
- Transcriptomics31
- Active learning20
- Ensembl learning20
- Kernel methods20
- Knowledge representation20
- Machine learning20
- Neural networks20
- Recommender system20
- Reinforcement learning20
- Supervised learning20
- Unsupervised learning20
- Exomes16
- Genome annotation16
- Genomes16
- Genomics16
- Personal genomics16
- Synthetic genomics16
- Viral genomics16
- Whole genomes16
- 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
- mRNA12
- mRNA features12
- ChIP-exo10
- ChIP-seq10
- ChIP-sequencing10
- Chip Seq10
- Chip sequencing10
- Chip-sequencing10
- Exometabolomics10
- LC-MS-based metabolomics10
- MS-based metabolomics10
- MS-based targeted metabolomics10
- MS-based untargeted metabolomics10
- Mass spectrometry-based metabolomics10
- Metabolites10
- Metabolome10
- Metabolomics10
- Metabonomics10
- NMR-based metabolomics10
- Python10
- Python program10
- Python script10
- py10
- Pipelines9
- Software integration9
- Tool integration9
- Tool interoperability9
- Workflows9
- DNA methylation8
- Epigenetics8
- Histone modification8
- Methylation profiles8
- Data management7
- Epigenomics7
- Metadata management7
- Phylogenetics5
- Algorithms4
- Codon usage4
- Computer programming4
- DNA chips4
- DNA microarrays4
- Data structures4
- De novo genome sequencing4
- Exome4
- Exome analysis4
- Exome capture4
- Exome sequencing4
- Expression4
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses75
- Show N_FILTERS more
-
-
-
Country
- United Kingdom75
- Show N_FILTERS more
-
-
-
Organizer
- University of Cambridge75
- Show N_FILTERS more
-
-
-
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
- Show N_FILTERS more
-
-
-
Eligibility
- First come first served8
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events