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Keyword
- Genetic Variation5
- Ensembl3
- European Variation Archive3
- Variant calling3
- API2
- ChIP-seq2
- Clinical genomics2
- Genetic variation2
- NHGRI-EBI GWAS Catalog2
- RNA-seq2
- Single Cell Genomics2
- UniProt: The Universal Protein Resource2
- Variant detection2
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- bioinformatics2
- next-generation sequencing2
- Comparative genomics1
- Cross domain (cross-domain)1
- DNA & RNA (dna-rna)1
- Data analysis1
- EVA1
- Ensembl Genomes1
- Ensembl Variant Effect Predictor1
- European Genome-phenome Archive1
- European Mouse Mutation Archive1
- Galaxy1
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- Human genomics1
- Introduction to bioinformatics1
- NGS1
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- Somatic Mutations1
- Variant Effect Predictor1
- Variant analysis1
- Variant data1
- Vertebrate genomes1
- eQTL Catalogue1
- one-health1
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Scientific topic
- Bioinformatics1099
- Genome annotation302
- Exomes299
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- Comparative transcriptomics90
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- MS-based targeted metabolomics75
- MS-based untargeted metabolomics75
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- RNA-Seq analysis41
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- DNA-Seq35
- DNase-Seq35
- High throughput sequencing35
- NGS35
- NGS data analysis35
- Next gen sequencing35
- Next generation sequencing35
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Operation
- Allele calling4
- Exome variant detection4
- Genome variant detection4
- Germ line variant calling4
- Mutation detection4
- Somatic variant calling4
- Variant calling4
- Variant mapping4
- de novo mutation detection4
- Consensus-based sequence alignment2
- Constrained sequence alignment2
- Data visualisation2
- Expression analysis2
- Expression data analysis2
- Gene expression analysis2
- Gene expression data analysis2
- Gene expression regulation analysis2
- Genetic variation analysis2
- Genetic variation annotation2
- Metagenomic inference2
- Microarray data analysis2
- Molecular visualisation2
- Multiple sequence alignment (constrained)2
- 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
- Transcript variant analysis2
- Variant analysis2
- Visualisation2
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Event type
- Workshops and courses21
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Organizer
- European Bioinformatics Institute (EBI)9
- Australian BioCommons8
- 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
- Andrea Cabibbe (https://training.galaxyproject.org/training-material/hall-of-fame/andreacabibbe/), Andrea Spitaleri (https://training.galaxyproject.org/training-material/hall-of-fame/andrea-spitaleri/), Arash Ghodousi (https://training.galaxyproject.org/training-material/hall-of-fame/arashghodousi/), Christoph Stritt (https://training.galaxyproject.org/training-material/hall-of-fame/cstritt/), Daniela Brites (https://training.galaxyproject.org/training-material/hall-of-fame/dbrites/), Galo A. Goig (https://training.galaxyproject.org/training-material/hall-of-fame/GaloGS/), Liliana Rutaihwa (https://training.galaxyproject.org/training-material/hall-of-fame/lilianarutaihwa/), Peter van Heusden (https://training.galaxyproject.org/training-material/hall-of-fame/pvanheus/)1
- Aviesan ITMO GGB, Inserm, IFB1
- Daniela Brites (https://training.galaxyproject.org/training-material/hall-of-fame/dbrites/)1
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Sponsor
- Aviesan ITMO GGB2
- IFB2
- INSERM2
- Australian BioCommons1
- Genetics Society of AustralAsia1
- IRCCS Ospedale San Raffaele1
- LINQ management GmbH1
- Pan-Africa network for genomic surveillance of poverty related diseases and emerging pathogens1
- Pan-African Consortium for the Evaluation of Antituberculosis Antibiotics1
- South African National Bioinformatics Institute, University of the Western Cape1
- Swiss Tropical and Public Health Institute1
- The European & Developing Countries Clinical Trials Partnership1
- The European Union1
- The Foundation for Innovative New Diagnostics1
- Università Vita-Salute San Raffaele1
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Target audience
- Biologists2
- 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
- bioinformaticians2
- No prior experience of bioinformatics is required, but an interest in finding out more about genetic variation resources and an undergraduate level understanding of biology would be of benefit. Experience with command line usage would be very beneficial. This workshop will focus specifically on human genetic variation. We encourage the audience to go through our introductory online course on human genetic variation prior to attending the workshop.1
- No prior experience of bioinformatics is required, but an interest in finding out more about variation resources and an undergraduate level understanding of biology would be of benefit. This workshop will focus specifically on human variation.1
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.1
- This workshop is aimed at bioinformaticians, software engineers and data analysts working in genomic medicine. Participants are likely to be working to set up and operate compute infrastructure and analysis pipeline to support clinical decision making in genomic medicine. Participants will require a basic knowledge of computational script writing and command line tools. Knowledge of next generation sequencing technologies and familiarity with genomic data will be useful for comprehending the content.1
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