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Scientific topic
- Synthetic genomics
- Exomes9
- Genome annotation9
- Genomes9
- Genomics9
- Personal genomics9
- Viral genomics9
- Whole genomes9
- Bioinformatics4
- Aerobiology2
- Behavioural biology2
- Biological rhythms2
- Biological science2
- Biology2
- ChIP-exo2
- ChIP-seq2
- ChIP-sequencing2
- Chip Seq2
- Chip sequencing2
- Chip-sequencing2
- Chromosome walking2
- Chronobiology2
- Clone verification2
- Cryobiology2
- DNA variation2
- DNA-Seq2
- DNase-Seq2
- Data management2
- De novo genome sequencing2
- Exometabolomics2
- FAIR data2
- Findable, accessible, interoperable, reusable data2
- Genetic variation2
- Genome sequencing2
- Genomic variation2
- High throughput sequencing2
- High-throughput sequencing2
- LC-MS-based metabolomics2
- MS-based metabolomics2
- MS-based targeted metabolomics2
- MS-based untargeted metabolomics2
- Mass spectrometry-based metabolomics2
- Metabolites2
- Metabolome2
- Metabolomics2
- Metabonomics2
- Metadata management2
- MicroRNA sequencing2
- Mutation2
- NGS2
- NGS data analysis2
- NMR-based metabolomics2
- Next gen sequencing2
- Next generation sequencing2
- Open science2
- Panels2
- Polymorphism2
- Primer walking2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Reproductive biology2
- Research data management (RDM)2
- Sanger sequencing2
- Sequencing2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Somatic mutations2
- Targeted next-generation sequencing panels2
- Transcriptome profiling2
- WGS2
- WTSS2
- Whole genome resequencing2
- Whole genome sequencing2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- Active learning1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neural networks1
- Recommender system1
- Reinforcement learning1
- Supervised learning1
- Unsupervised learning1
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Operation
- 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
- Allele calling1
- Exome variant detection1
- Genome variant detection1
- Germ line variant calling1
- Mutation detection1
- Somatic variant calling1
- Variant calling1
- Variant mapping1
- de novo mutation detection1
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Event type
- Workshops and courses8
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Venue
- University of Ljubljana, Faculty of Medicine2
- Cirad, 389, Avenue Agropolis1
- Institute of Organic Chemistry and Biochemistry AS CR, 2, Flemingovo náměstí1
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande1
- Station Biologique De Roscoff1
- Station Biologique De Roscoff, Place Georges Teissier1
- University of Milano-Bicocca, Building U7, Lab 7151
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Target audience
- life scientists6
- PhD students5
- Researchers5
- 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
- Life Science Researchers1
- Postgraduate students1
- beginner bioinformaticians1
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Eligibility
- Registration of interest9
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