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Content provider
- European Bioinformatics Institute (EBI)14
- University of Cambridge Bioinformatics Training4
- IFB French Institute of Bioinformatics2
- Australian BioCommons1
- ELIXIR: The Czech Republic Node1
- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- VIB Training1
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Keyword
- DNA & RNA (dna-rna)9
- NGS5
- European Nucleotide Archive4
- HDRUK4
- bioinformatics4
- next-generation sequencing4
- CNV analysis3
- CRISPR-Cas93
- Long-read RNA-seq3
- NGS bioinformatics3
- SNV analysis3
- ChIP-seq2
- DNA-seq2
- Ensembl2
- European Variation Archive2
- Long reads2
- RNA-Seq2
- RNA-seq2
- Raw sequencing data2
- Sequencing2
- Single Cell Genomics2
- Spatial transcriptomics2
- Variant calling2
- Variant detection2
- analysis pipeline2
- genome graph2
- read mapping2
- sequence alignment and mapping (SAM)2
- transcriptomics2
- RNA-Seq1
- Alzheimers Clinical Trials And StudiesAlzheimers DiseaseAmnesiaAnimal Models In DementiaAnxiety Autoimmune Disorders & Multiple SclerosisBehavioral IssuesBiopsychiatry Blood-Brain BarrierBrain DiagnosisBrain Disease & FailureBrain InjuryBrain TumourCentral Nervous SystemCerebrovascular DiseaseChild NeurologyClinical NeurophysiologyCNS TumorsCognitive DisordersDementiaDementia CareDemyelinationDiagnosis And TherapyEpilepsyGenetics Genetics And Epigenetics Geriatric NeurologyGut- Brain AxisHeadacheIntervention NeuroradiologyMeningitisMental HealthMental Health NursingMetastatisMovement DisordersMultiple SclerosisMultiple Sclerosis DiagnosisNervous SystemNeural EngineeringNeural EnhancementNeuro-Oncology NeuroanaatomyNeuroanatomyNeurocritical CareNeurodegenerationNeurodegenerative DisorderNeurodegenerative DisordersNeurogeneticsNeuroimagingNeuroimmunologyNeurological DisordersNeurological Disorders And StrokeNeurological InfectionsNeurological SurgeryNeurologistNeurologyNeuromedicinesNeuromuscular MedicineNeuronal AutoantibodiesNeuropathyNeuropeptidesNeuropharmacologyNeuroscienceNeurosurgeryNeurotoxicologyNeurotoxinsNeurotransmissionNeurotransmittersParkinsonParkinsons DiseasePediatric NeurologyPharmacology Psychiatry Psychology PsychoneuroimmunologyRecent Research And Case StudiesRehabilitation TherapyStem Cell Treatment For Neurological DisordersStrokesTraumatic Brain Injury1
- Bioinformatics1
- Bisulfite-Seq1
- CABANA1
- CNS sequencing 1
- DNA Methylation1
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- Databases1
- ELIXIR1
- ENA1
- Ensembl Genomes1
- Epigenetics1
- Epigenomics1
- Flowering plants1
- Galaxy1
- Gene Expression1
- Genome Mapping1
- Genome Structure 1
- Genome sequence analysis1
- Genomics1
- High Throughput Sequencing Analysis1
- Hyb-Seq method1
- Mapping1
- Metagenomics1
- Molecular building blocks of life1
- Next generation sequencing data analysis1
- Next-generation sequencing1
- Open-access data archive1
- Plant webinar series1
- Population Scale 1
- Quality Control1
- Sequence Analysis1
- Single Cell Sequencing1
- Single cell sequencing 1
- Symbiotes1
- Transcriptomics1
- cell diversity1
- clinical sequencing1
- disease research1
- genomics1
- omics1
- scRNA-seq1
- • New developments in technology 1
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Scientific topic
- Bioinformatics1085
- Genome annotation289
- Exomes286
- Genomes286
- Genomics286
- Personal genomics286
- Synthetic genomics286
- Viral genomics286
- Whole genomes286
- Biological modelling229
- Biological system modelling229
- Systems biology229
- Systems modelling229
- Biomedical research188
- Clinical medicine188
- Experimental medicine188
- General medicine188
- Internal medicine188
- Medicine188
- Data visualisation184
- Data rendering177
- Bottom-up proteomics145
- Discovery proteomics145
- MS-based targeted proteomics145
- MS-based untargeted proteomics145
- Metaproteomics145
- Peptide identification145
- Protein and peptide identification145
- Proteomics145
- Quantitative proteomics145
- Targeted proteomics145
- Top-down proteomics145
- Data management122
- Metadata management122
- Research data management (RDM)122
- Data mining113
- Pattern recognition113
- Aerobiology99
- Behavioural biology99
- Biological rhythms99
- Biological science99
- Biology99
- Chronobiology99
- Cryobiology99
- Reproductive biology99
- Comparative transcriptomics90
- Transcriptome90
- Transcriptomics90
- Exometabolomics68
- LC-MS-based metabolomics68
- MS-based metabolomics68
- MS-based targeted metabolomics68
- MS-based untargeted metabolomics68
- Mass spectrometry-based metabolomics68
- Metabolites68
- Metabolome68
- Metabolomics68
- Metabonomics68
- NMR-based metabolomics68
- Functional genomics65
- Cloud computing60
- Computer science60
- HPC60
- High performance computing60
- High-performance computing60
- Computational pharmacology57
- Pharmacoinformatics57
- Pharmacology57
- Active learning51
- Ensembl learning51
- Immunology51
- Kernel methods51
- Knowledge representation51
- Machine learning51
- Neural networks51
- Recommender system51
- Reinforcement learning51
- Supervised learning51
- Unsupervised learning51
- Biomathematics47
- Computational biology47
- Mathematical biology47
- Theoretical biology47
- Pipelines40
- RNA-Seq analysis40
- Software integration40
- Tool integration40
- Tool interoperability40
- Workflows40
- Data archival37
- Data archiving37
- Data curation37
- Data curation and archival37
- Data preservation37
- Database curation37
- Research data archiving37
- High-throughput sequencing35
- Chromosome walking34
- Clone verification34
- DNA-Seq34
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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
- Alternative splicing analysis1
- Alternative splicing detection1
- Alternative splicing prediction1
- Cartography1
- Differential expression analysis1
- Differential gene analysis1
- Differential gene expression analysis1
- Differential gene expression profiling1
- Differential splicing analysis1
- Differentially expressed gene identification1
- Mapping1
- Optimisation and refinement1
- Sequencing QC1
- Sequencing quality assessment1
- Sequencing quality control1
- Splice transcript prediction1
- Split read mapping1
- Split-read mapping1
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Venue
- European Bioinformatics Institute, Hinxton6
- Craik-Marshall Building4
- Via Nizza, 522
- BluePoint Antwerpen, 9, Filip Williotstraat1
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- Gaustadalléen 23, 23, Gaustadalléen1
- KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat1
- LANGEBIO, Cinvestav, Libramiento Norte Carretera Leon Km 9.61
- Leuven - Campus Gasthuisberg, Herestraat 491
- Online1
- PC-COLLEGE Berlin, 78, Stresemannstraße1
- Station Biologique De Roscoff1
- Station Biologique De Roscoff, Place Georges Teissier1
- University of Costa Rica (UCR), Ciudad universitaria Rodrigo Facio Brenes1
- iad Pc-Pool1
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Target audience
- bioinformaticians5
- Anyone who is using sequencing as part of their work and/or research.4
- Biologists4
- Biologists, Genomicists, Computer Scientists4
- Molecular Biologists4
- Pathologists4
- PhD students4
- post-docs3
- 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
- Early Career Researchers (ECRs)1
- Job seeker1
- Life Science Researchers1
- PhD Students1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Post Docs1
- Researchers1
- Small and Medium-sized Enterprises (SMEs)1
- The course is aimed at early-stage researchers working in the field of ecological genomics who want to make bioinformatics a significant part of their research. The course will also support the research of the Moore Foundation symbiosis community, in particular those working on the Aquatic Symbiosis Genomes project. Participants will require a basic knowledge of the Unix command line and the Ubuntu 18 operating system. We recommend taking these 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 Experience with both R and Python will also be essential for the computational sessions. Participants without basic knowledge of these resources will struggle to learn the practical skills developed during the course.1
- 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 wet-lab researchers at any career stage within Latin America undertaking pathogen population genetics and surveillance, interested in applying next generation sequencing to virus identification. Those working in plant protection organizations and/or academia are welcome to apply, and priority will be given to those who have not yet attended a CABANA workshop. Please note this course will be taught in English, however the trainers are fluent in Spanish, and can offer language support where feasible. A number of travel fellowships are available for this course - early-stage researchers and researchers from underrepresented groups are especially encouraged to apply for CABANA travel fellowships. You can apply for travel fellowships via the course application form. Priority will be given to those who have not previously been awarded a CABANA fellowship. Knowledge in R and NGS technologies is required. Therefore, these free resources should be studied beforehand: Basic R concept tutorials: www.r-tutor.com/r-introduction https://r4ds.had.co.nz/tidy-data.html Learning outcomes1
- This course is suitable for postgraduate students (MSc-level and above), postdoctoral-level researchers, newly established principal investigators and other research scientists within Latin America, who wish to use omics resources/analysis in their own research. We welcome applications from universities, research centres, hospitals, public health, and private laboratories. Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage. Please note this course will be taught in English, however the trainers are fluent in either Portuguese or Spanish and can offer language support where feasible. Attendance priority will be given to those who have not attended a CABANA event yet. Prerequisites Working knowledge of genetics and/or molecular biology would be advantageous. You will also require access to a computer for the duration of the workshop. You do not need to know how to use UNIX / Linux operating systems and the command line, as the course covers the basics. 1
- This course is suitable for postgraduate wet-lab researchers at any career stage within Latin America who are working with and/or generating their own transcriptomic datasets. Participants will require a basic knowledge of the Unix command line and the R statistical package. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Bio-Linux 7: http://nebc.nerc.ac.uk/support/training/course-notes/past-notes/intro-bl7 Basic R concept tutorials: www.r-tutor.com/r-introduction Participants without basic knowledge of these resources will have difficulty in completing the practical sessions. We strongly recommend that you make every effort to access these materials and other training available online or within your host institute to best prepare you for the course. A number of travel fellowships are available for this course - early-stage researchers and researchers from underrepresented groups are especially encouraged to apply for CABANA travel fellowships. You can apply for travel fellowships via the course application form.1
- biologists1
- postdoc1
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