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- European Bioinformatics Institute (EBI)14
- Australian BioCommons1
- ELIXIR: The Czech Republic Node1
- NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
- VIB Training & Conferences1
- iAnn1
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- Keyword
- DNA & RNA (dna-rna)9
- NGS5
- European Nucleotide Archive4
- CNV analysis3
- CRISPR-Cas93
- Long-read RNA-seq3
- NGS bioinformatics3
- SNV analysis3
- DNA-seq2
- Ensembl2
- European Variation Archive2
- Long reads2
- RNA-Seq2
- Raw sequencing data2
- Sequencing2
- Spatial transcriptomics2
- Variant calling2
- analysis pipeline2
- bioinformatics2
- genome graph2
- next-generation sequencing2
- read mapping2
- sequence alignment and mapping (SAM)2
- transcriptomics2
- RNA-Seq1
- ABR1
- 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
- Data analysis1
- Data archive1
- 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
- Lab Information management system1
- 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
- QFAB1
- Quality Control1
- R1
- Sequence Analysis1
- Single Cell Sequencing1
- Single cell sequencing 1
- Symbiotes1
- Transcriptomics1
- Workflows1
- cell diversity1
- clinical sequencing1
- data provenance1
- data-management1
- disease research1
- electronic lab notebook1
- genomics1
- omics1
- scRNA-seq1
- • New developments in technology 1
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- Scientific topic
- Bioinformatics715
- Genome annotation323
- Exomes314
- Genomes314
- Genomics314
- Personal genomics314
- Synthetic genomics314
- Viral genomics314
- Whole genomes314
- Biological modelling219
- Biological system modelling219
- Systems biology219
- Systems modelling219
- Biomedical research191
- Clinical medicine191
- Experimental medicine191
- General medicine191
- Internal medicine191
- Medicine191
- Data management158
- Metadata management158
- Research data management (RDM)158
- Bottom-up proteomics155
- Discovery proteomics155
- MS-based targeted proteomics155
- MS-based untargeted proteomics155
- Metaproteomics155
- Peptide identification155
- Protein and peptide identification155
- Proteomics155
- Quantitative proteomics155
- Targeted proteomics155
- Top-down proteomics155
- Cloud computing61
- Computer science61
- HPC61
- High performance computing61
- High-performance computing61
- Exometabolomics58
- LC-MS-based metabolomics58
- MS-based metabolomics58
- MS-based targeted metabolomics58
- MS-based untargeted metabolomics58
- Mass spectrometry-based metabolomics58
- Metabolites58
- Metabolome58
- Metabolomics58
- Metabonomics58
- NMR-based metabolomics58
- Immunology57
- Computational pharmacology54
- Pharmacoinformatics54
- Pharmacology54
- Comparative transcriptomics53
- Transcriptome53
- Transcriptomics53
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- RNA-Seq analysis45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- Data visualisation39
- MicroRNA sequencing36
- RNA sequencing36
- RNA-Seq36
- Small RNA sequencing36
- Small RNA-Seq36
- Small-Seq36
- Transcriptome profiling36
- WTSS36
- Whole transcriptome shotgun sequencing36
- miRNA-seq36
- Metagenomics34
- Shotgun metagenomics34
- Data rendering32
- High-throughput sequencing31
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- Operation
- Allele calling1
- 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
- Exome variant detection1
- Genome variant detection1
- Germ line variant calling1
- Mapping1
- Mutation detection1
- Optimisation and refinement1
- Sequencing QC1
- Sequencing quality assessment1
- Sequencing quality control1
- Somatic variant calling1
- Splice transcript prediction1
- Split read mapping1
- Split-read mapping1
- Variant calling1
- Variant mapping1
- de novo mutation detection1
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- Lab Integrated Data (LabID)1
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- Workshops and courses27
- Meetings and conferences2
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- Venue
- European Bioinformatics Institute, Hinxton6
- , 4
- Via Nizza, 522
- BluePoint Antwerpen, 9, Filip Williotstraat1
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- EMBL Heidelberg, 1 Meyerhofstraße1
- 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
- University of Costa Rica (UCR), Ciudad universitaria Rodrigo Facio Brenes1
- University of Queensland1
- iad Pc-Pool1
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- Leuven2
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- Country
- United Kingdom6
- Belgium3
- Germany3
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- Sponsor
- 101100604 - DIGITAL-2022-TRAINING-021
- Analis1
- BGI1
- Bio-techne1
- Bioke1
- Biorad1
- Co-funded by the European Commission1
- ELIXIR Belgium1
- ELIXIR Italy1
- Lexogen1
- NORBIS1
- OSCARS (EU/Horizon)1
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- Target audience
- bioinformaticians5
- Biologists4
- Biologists, Genomicists, Computer Scientists4
- Molecular Biologists4
- Pathologists4
- PhD students4
- post-docs3
- Data Scientist1
- Data stewards1
- Early Career Researchers (ECRs)1
- Job seeker1
- Lab managers1
- 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
- System administrators1
- 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
- Wet-lab researchers and bioinformaticians1
- biologists1
- computational biologists1
- postdoc1
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- Eligibility
- First come first served9
- Registration of interest2
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- Language
- English2
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- Node
- EMBL-EBI14
- Italy3
- Belgium1
- Czech Republic1
- Germany1
- Norway1
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- Instructor
- Sam Holt3
- Ajay Mishra2
- Alexey Larionov2
- Francesco Iorio2
- Tobias Rausch2
- Aki Ohdera1
- Alan Tracey1
- Alexey Sokolov1
- Astrid Gall1
- Baron Koylass1
- Bill Baker1
- Camila Eldridge1
- Caroline Howard1
- Charles Girardot1
- Charles Solomon1
- Chiara Batini1
- Claudia Weber1
- Corinna Breusing1
- Elizabeth Heath-Heckman1
- Emily Perry1
- Emmelein Vancaester1
- Erin Haskell1
- Fergal Martin1
- Francesc Muyas Remolar1
- Francisco Lobo1
- Francisco Prosdocimi1
- Graeme Oatley1
- Isidro Cortes Ciriano1
- Isidro Cortes-Ciriano1
- James Torrance1
- Jan Kreuze1
- Janick Mathys1
- Jo Collins1
- Jo Wood1
- John Archibald1
- Jose M Chema Martin Duran1
- Laurent Thomas1
- Lewis Stevens1
- Mara Lawniczak1
- Marcela Uliano1
- Marco Wetter1
- Mark Blaxter1
- Mathieu Bourgey1
- Matthew Young1
- Mauricio Montero1
- Michael Paulini1
- Nancy Halroyd1
- Natalia Barboza1
- Nayeem Reza1
- Pablo Gonzalez1
- Peter Causey-Freeman1
- Peter Stadler1
- Radka Platte1
- Ricardo Alcalá Briseño1
- Ricardo Chinchilla1
- Rich Challis1
- Sarah Pelan1
- Sean Laidlaw1
- Segundo Fuentes1
- Selene Fernandez-Valverde1
- Shana Goffredi1
- Shane McCarthy1
- Simone Zaccaria1
- Sujai Kumar1
- Tom Hancocks1
- Veronica Busa1
- Victoria McKenna1
- Walter Barrantes1
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