- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Keyword
- Variant calling5
- HPC4
- Workflows4
- Bioinformatics3
- NGS3
- NGS bioinformatics3
- eLearning3
- R-programming2
- CWL2
- DNA-seq2
- Data management plan2
- Docker2
- EeLP2
- Genetic Variation2
- High performance computing2
- NCMAS2
- Next generation sequencing data analysis2
- Reproducibility2
- Webinar2
- computer-science2
- data organisation2
- licensing2
- life science standards2
- metadata2
- storage2
- Linux1
- RNA-Seq1
- Ab initio models1
- Artificial Intelligence1
- Biodata, Bioinformatics, Biodata1
- Bisulfite-Seq1
- Chimera1
- Cloud1
- Command line1
- Computational Biology1
- Compute1
- Container1
- Containers1
- DNA Methylation1
- Deep learning1
- Epigenetics1
- Evolutinary genomics1
- FAIR1
- Galaxy1
- Genomics1
- Globus1
- Homology modelling1
- Imaging1
- Jalview1
- LSF1
- MSA1
- Machine Learning and Artificial Intelligence Course1
- Nextflow1
- Phosphoproteomics1
- Phosphorylation1
- Phylogenetic trees1
- Population Genomics1
- Protein secondary structure1
- R/Bioconductor1
- Sequence Analysis1
- Snakemake1
- Systems biology1
- Transcriptomics1
- University of Dundee1
- University of Liverpool1
- Unix1
- WES1
- WESkit1
- algorithms1
- bioinformatics1
- biomedical applications1
- clinical genomics1
- data collection1
- data management1
- data stewardship1
- dynamic simulations1
- life sciences1
- machine learning1
- massspectrometry1
- metadynamics1
- multiple sequence alignment1
- mutational landscapes1
- nf-core1
- personalized medicine1
- phylogenetics1
- protein prediction1
- protein sequence 1
- protein structure 1
- scRNA-seq1
- subfamily analysis1
- systems medicine1
- tidyverse1
- transcriptomics1
- workflUX1
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics15
- High-throughput sequencing6
- Biological sequences5
- Chromosome walking5
- Clone verification5
- Cloud computing5
- Computer science5
- DNA-Seq5
- DNase-Seq5
- HPC5
- High performance computing5
- High throughput sequencing5
- High-performance computing5
- NGS5
- NGS data analysis5
- Next gen sequencing5
- Next generation sequencing5
- Panels5
- Pipelines5
- Primer walking5
- Sanger sequencing5
- Sequence analysis5
- Sequence databases5
- Sequencing5
- Software integration5
- Targeted next-generation sequencing panels5
- Tool integration5
- Tool interoperability5
- Workflows5
- Data management3
- Exomes3
- Genome annotation3
- Genomes3
- Genomics3
- Metadata management3
- Personal genomics3
- Research data management (RDM)3
- Synthetic genomics3
- Viral genomics3
- Whole genomes3
- Aerobiology2
- Behavioural biology2
- Biological rhythms2
- Biological science2
- Biology2
- Biomathematics2
- Chronobiology2
- Computational biology2
- Cryobiology2
- DNA variation2
- FAIR data2
- Findable, accessible, interoperable, reusable data2
- Genetic variation2
- Genomic variation2
- Mathematical biology2
- Mutation2
- Open science2
- Polymorphism2
- Reproductive biology2
- Somatic mutations2
- Theoretical biology2
- Active learning1
- Bayesian methods1
- Biological modelling1
- Biological system modelling1
- Biomedical science1
- Biomedical sciences1
- Biostatistics1
- Chemical informatics1
- Cheminformatics1
- Chemoinformatics1
- Comparative transcriptomics1
- Computational chemistry1
- Data archival1
- Data archiving1
- Data curation1
- Data curation and archival1
- Data preservation1
- Database curation1
- De novo genome sequencing1
- Descriptive statistics1
- Diffraction experiment1
- Ensembl learning1
- Evolution1
- Evolutionary biology1
- Gaussian processes1
- Genome sequencing1
- Health science1
- Imaging1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- MicroRNA sequencing1
- Microscopy1
- Microscopy imaging1
- Molecular diagnostics1
- Multivariate statistics1
- Neural networks1
- Show N_FILTERS more
-
-
-
Operation
- Allele calling3
- Exome variant detection3
- Genome variant detection3
- Germ line variant calling3
- Mutation detection3
- Somatic variant calling3
- Variant calling3
- Variant mapping3
- de novo mutation detection3
- Alternative splicing analysis1
- Alternative splicing detection1
- Alternative splicing prediction1
- Cartography1
- Differential splicing analysis1
- Mapping1
- Sequencing QC1
- Sequencing quality assessment1
- Sequencing quality control1
- Splice transcript prediction1
- Split read mapping1
- Split-read mapping1
- Show N_FILTERS more
-
-
-
Venue
- Branišovská 1160/31, 31, Branišovská1
- De Duve Institute UCLouvain, 75, Avenue Hippocrate1
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande1
- La Pedrera, 92, Passeig de Gràcia1
- Le Corum Palais des Congrès - Opéra Berlioz, Esplanade Charles De Gaulle1
- MSTC, Sherrington Building, University of Liverpool1
- Online1
- PC-COLLEGE Berlin, 78, Stresemannstraße1
- Stavros Niarchos Foundation Cultural Center, 364, Leoforos Andrea Siggrou1
- UCLL Campus Gasthuisberg, 49, Herestraat1
- University of Turin, Molecular Biotechnology Center1
- Via Nizza, 521
- Via Nizza, 52 Molecular Biotechonology Center, University of Turin1
- Virtual (Slack)1
- iad Pc-Pool1
- Show N_FILTERS more
-
-
-
Target audience
- bioinformaticians
- Graduate students765
- Postdocs and Staff members from the University of Cambridge489
- Institutions and other external Institutions or individuals486
- PhD students346
- Academics288
- Industry288
- PhD280
- Plant research174
- Researchers74
- Biologists34
- Life Science Researchers32
- life scientists17
- post-docs16
- mixed audience15
- Master students14
- PhD Students13
- 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
- Graduate Students12
- as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.12
- Existing R users who are not familiar with dplyr and ggplot211
- This course is included as part of several DTP and MPhil programmes11
- Those with programming experience in other languages that want to know what R can offer them11
- Biologists, Genomicists, Computer Scientists10
- Professors10
- All postgraduates9
- Bioinformaticians and wet-lab biologists who can program9
- PhD candidates9
- Wet-lab researchers and bioinformaticians 9
- Bioinformaticians8
- Undergraduate students8
- data stewards8
- postdoctoral researchers8
- PhD candidate7
- Researchers who are applying or planning to apply image analysis in their research7
- Technicians7
- data steward / data manager7
- Postgraduate students6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- but who have not perhaps put this into practice since.6
- data managers6
- Clinicians5
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.5
- Life sciences5
- Post Docs5
- Postdoctoral Researchers5
- Postdoctoral researchers5
- Senior scientist/ Principal investigator5
- The course is open to Graduate students5
- This course is aimed at students and researchers of any background.5
- Trainers5
- We assume no prior knowledge of what a HPC is or how to use it.5
- postdocs5
- software developers, bioinformaticians5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R. 4
- Biomedical researchers4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- Pathologists4
- Research presentation4
- Researchers who want to extract quantitative information from microscopy images4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- This workshop is aimed at researchers interested in proteins4
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- Wet-lab Researchers4
- beginner bioinformaticians4
- database managers4
- network analysis4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- protein-protein interactions and related areas4
- health professionals3
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Anyone who wants to become a teacher / trainer or a better one3
- Beginner3
- Bench biologists3
- Bioinformaticians and wet-lab biologists who can program in Python or R. 3
- Computational biologists3
- Core Facility Managers3
- Developers3
- Early Career Researcher3
- Evolutionary Biologists3
- Institutions and other external Institutions or individuals.3
- Intermediate3
- Masters students3
- Post-Docs3
- Scientists3
- Students and researchers from life-sciences or biomedical backgrounds3
- The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasets3
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
- 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. 3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA3
- This workshop is aimed at students on the Rare Diseases and Experimental Medicine MPhil courses at the University of Cambridge. Students from the wider clinical sciences group are also able to attend subject to space being available.3
- This workshop is aimed at wet-lab scientists and bioinformaticians. Participants should have degree-level understanding of molecular biology/genetics and be proficient at using web browsers. 3
- Training Designers3
- Training instructors3
- basic research3
- bioinformatics and other life scientists planning to work with next-generation sequencing data.3
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events