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Keyword
- HDRUK3
- ChIP-seq2
- RNA-seq2
- Single Cell Genomics2
- Variant detection2
- bioinformatics2
- next-generation sequencing2
- Cloud1
- Flowering plants1
- Galaxy1
- Globus1
- Hyb-Seq method1
- NGS1
- Next generation sequencing data analysis1
- Plant webinar series1
- amr1
- bacteria1
- genome annotation1
- microgalaxy1
- one-health1
- prokaryote1
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Scientific topic
- Bioinformatics1099
- Genome annotation302
- Exomes299
- Genomes299
- Genomics299
- Personal genomics299
- Synthetic genomics299
- Viral genomics299
- Whole genomes299
- Biological modelling250
- Biological system modelling250
- Systems biology250
- Systems modelling250
- Biomedical research219
- Clinical medicine219
- Experimental medicine219
- General medicine219
- Internal medicine219
- Medicine219
- Data visualisation185
- Data rendering178
- Bottom-up proteomics152
- Discovery proteomics152
- MS-based targeted proteomics152
- MS-based untargeted proteomics152
- Metaproteomics152
- Peptide identification152
- Protein and peptide identification152
- Proteomics152
- Quantitative proteomics152
- Targeted proteomics152
- Top-down proteomics152
- Data management126
- Metadata management126
- Data mining113
- Pattern recognition113
- Aerobiology98
- Behavioural biology98
- Biological rhythms98
- Biological science98
- Biology98
- Chronobiology98
- Cryobiology98
- Reproductive biology98
- Comparative transcriptomics90
- Transcriptome90
- Transcriptomics90
- Exometabolomics75
- LC-MS-based metabolomics75
- MS-based metabolomics75
- MS-based targeted metabolomics75
- MS-based untargeted metabolomics75
- Mass spectrometry-based metabolomics75
- Metabolites75
- Metabolome75
- Metabolomics75
- Metabonomics75
- NMR-based metabolomics75
- Functional genomics65
- Immunology65
- Cloud computing60
- Computer science60
- HPC60
- High performance computing60
- High-performance computing60
- Computational pharmacology59
- Pharmacoinformatics59
- Pharmacology59
- Active learning50
- Ensembl learning50
- Kernel methods50
- Knowledge representation50
- Machine learning50
- Neural networks50
- Recommender system50
- Reinforcement learning50
- Supervised learning50
- Unsupervised learning50
- Biomathematics47
- Computational biology47
- Mathematical biology47
- Theoretical biology47
- Pipelines41
- RNA-Seq analysis41
- Software integration41
- Tool integration41
- Tool interoperability41
- Workflows41
- Data curation39
- Database curation39
- Research data management (RDM)37
- High-throughput sequencing36
- Chromosome walking35
- Clone verification35
- DNA-Seq35
- DNase-Seq35
- High throughput sequencing35
- NGS35
- NGS data analysis35
- Next gen sequencing35
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Operation
- Allele calling2
- Consensus-based sequence alignment2
- Constrained sequence alignment2
- Data visualisation2
- Exome variant detection2
- Expression analysis2
- Expression data analysis2
- Gene expression analysis2
- Gene expression data analysis2
- Gene expression regulation analysis2
- Genetic variation analysis2
- Genetic variation annotation2
- Genome variant detection2
- Germ line variant calling2
- Metagenomic inference2
- Microarray data analysis2
- Molecular visualisation2
- Multiple sequence alignment (constrained)2
- Mutation detection2
- Oligonucleotide alignment2
- Oligonucleotide alignment construction2
- Oligonucleotide alignment generation2
- Oligonucleotide mapping2
- Peak calling2
- Peak-pair calling2
- Plotting2
- Protein binding peak detection2
- Protein expression analysis2
- Read alignment2
- Read mapping2
- Read pre-processing2
- Rendering2
- Sequence alignment2
- Sequence alignment (constrained)2
- Sequence alignment construction2
- Sequence alignment generation2
- Sequence read pre-processing2
- Sequence variation analysis2
- Short oligonucleotide alignment2
- Short read alignment2
- Short read mapping2
- Short sequence read mapping2
- Somatic variant calling2
- Transcript variant analysis2
- Variant analysis2
- Variant calling2
- Variant mapping2
- Visualisation2
- de novo mutation detection2
- Optimisation and refinement1
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Event type
- Workshops and courses10
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Organizer
- University of Cambridge3
- ABiMS (http://abims.sb-roscoff.fr/), AVIESAN (http://www.aviesan.fr/en), BiGEst (http://bigest.unistra.fr/), IFB (https://www.france-bioinformatique.fr/), IFB Core (https://www.france-bioinformatique.fr/), MIGALE (https://migale.inrae.fr)1
- Australian BioCommons1
- Aviesan ITMO GGB, Inserm, IFB1
- BioExcel1
- European Bioinformatics Institute (EBI)1
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Target audience
- Graduate students3
- Institutions and other external Institutions or individuals3
- Postdocs and Staff members from the University of Cambridge3
- Cette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.2
- This workshop is aimed at those who want to explore genetic variation data.2
- Cloud users1
- Galaxy users1
- This workshop is aimed at a wide variety of users1
- bioinformaticians1
- from wet-lab scientists to bioinformaticians.1
- software engineers1
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