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Keyword
- HDRUK9
- DNA & RNA (dna-rna)5
- CNV analysis3
- CRISPR-Cas93
- Ensembl3
- Long-read RNA-seq3
- SNV analysis3
- European Nucleotide Archive2
- European Variation Archive2
- Long reads2
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- next-generation sequencing2
- read mapping2
- sequence alignment and mapping (SAM)2
- Biotherapeutics1
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- genomics1
- infectious diseases1
- mathematical modelling1
- phylodynamics1
- public health1
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Scientific topic
- Genomes
- Bioinformatics438
- Data visualisation154
- Data rendering150
- Data mining110
- Pattern recognition110
- Aerobiology87
- Behavioural biology87
- Biological rhythms87
- Biological science87
- Biology87
- Chronobiology87
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- Reproductive biology87
- Functional genomics58
- Comparative transcriptomics54
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- Transcriptomics54
- Genome annotation38
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- Personal genomics37
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- Active learning29
- Ensembl learning29
- Kernel methods29
- Knowledge representation29
- Machine learning29
- Neural networks29
- Recommender system29
- Reinforcement learning29
- Supervised learning29
- Unsupervised learning29
- Bottom-up proteomics24
- Discovery proteomics24
- MS-based targeted proteomics24
- MS-based untargeted proteomics24
- Metaproteomics24
- Peptide identification24
- Protein and peptide identification24
- Proteomics24
- Quantitative proteomics24
- Targeted proteomics24
- Top-down proteomics24
- Exometabolomics22
- LC-MS-based metabolomics22
- MS-based metabolomics22
- MS-based targeted metabolomics22
- MS-based untargeted metabolomics22
- Mass spectrometry-based metabolomics22
- Metabolites22
- Metabolome22
- Metabolomics22
- Metabonomics22
- NMR-based metabolomics22
- Biological modelling21
- Biological system modelling21
- Systems biology21
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- Python19
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- py19
- Fusion genes16
- Gene features16
- Gene structure16
- Bioimaging15
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- Clinical medicine15
- Coding RNA15
- EST15
- Exons15
- Experimental medicine15
- Fusion transcripts15
- Gene transcript features15
- Gene transcripts15
- General medicine15
- Internal medicine15
- Introns15
- Medicine15
- PolyA signal15
- PolyA site15
- Signal peptide coding sequence15
- Transit peptide coding sequence15
- cDNA15
- mRNA15
- mRNA features15
- Phylogenetics14
- ChIP-exo12
- ChIP-seq12
- ChIP-sequencing12
- Chip Seq12
- Chip sequencing12
- Chip-sequencing12
- RNA-Seq analysis11
- Chromosome walking10
- Clone verification10
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- United Kingdom
- Germany55
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Target audience
- Graduate students7
- Institutions and other external Institutions or individuals7
- Postdocs and Staff members from the University of Cambridge7
- 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
- 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 aimed at PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing (HTS) is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.1
- This course is aimed at PhD students and post-doctoral researchers who are using high-throughput sequencing technologies and bioinformatics methods in their research. The content is most applicable for those working with eukaryotic genomes, human genetics and in rare disease research. Participants will require a basic knowledge of the Unix command line, the Ubuntu 16 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Please note: participants without basic knowledge of these resources will have difficulty in completing the practical sessions.1
- This course is aimed at PhD students and postdoctoral researchers needing to learn about methods and approaches for manipulating and analysing livestock genomic data. It will help those wanting to start basic identification of genetic variation, annotating function to genomic data, and using public data to interpret new findings. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area. 1
- This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.1
- This course is suitable for all users who have an interest in Clinical Genetics with a special emphasis on rare disorders. It is also pertinent to those who seek to develop a better understanding of the role of accurate phenotyping in aiding the interpretation of filtered variants in patients and understanding genotype-phenotype correlations.1
- Wet-lab researchers and bioinformaticians1
- or who are already GATK users seeking to improve their understanding of and proficiency with the tools.1
- seeking an introductory course into the tools1
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Eligibility
- First come first served2
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