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Keyword
- DNA & RNA (dna-rna)3
- HDRUK3
- Metagenome-Assembled Genome (MAG)3
- Metagenomics3
- Microbial ecosystems webinar3
- Data submission2
- Functional analysis2
- MGnify2
- Proteins (proteins)2
- Strain resolution2
- Computational metagenomics1
- Ecology1
- EeLP1
- Epigenomics1
- European Nucleotide Archive1
- Genome Mapping1
- Genome Structure 1
- InterPro1
- Marine Metagenomics1
- Metabarcoding1
- Microbiome1
- MolecularCellBiology1
- Population Scale 1
- Qiime21
- Sequencing1
- Single Cell Sequencing1
- Spatial transcriptomics1
- Taxonomy1
- amr1
- bacteria1
- beginner1
- biodiversity1
- clinical sequencing1
- data submission1
- eLearning1
- functional analysis1
- genome surveillance1
- metabarcoding1
- microbiome1
- microgalaxy1
- one-health1
- strain resolution1
- viruses1
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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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Venue
- Craik-Marshall Building3
- European Bioinformatics Institute, Hinxton2
- 1) Workshop: University of Bari Aldo Moro, 1, Piazza Umberto I; 2) Summer School: Una Hotel Regina, Strada Provinciale, 57, 70016 Noicattaro, BA 1
- BluePoint Antwerpen, 9, Filip Williotstraat1
- EMBL1
- Faculty of Natural Sciences - University of Buenos Aires (FCEN-UBA), Ciudad Universitaria. Nuñez - Ciudad Autónoma de Buenos Aires - Pabellón II1
- Faculty of Sciences, University of Porto, Rua do Campo Alegre 1021/10551
- Institutt for pedagogikk og lærerutdanning (Faculty of Humanities), Teorifagbygget-Hus 11
- Online1
- University Freiburg1
- University of Freiburg, Werthmannstrasse 41
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Sponsor
- de.NBI3
- ELIXIR Europe2
- ABRomics1
- Analis1
- Australian BioCommons1
- Avans Hogeschool1
- BGI1
- Bio-techne1
- Bioke1
- Biorad1
- DataPLANT (NFDI4Plants)1
- ELIXIR-IIB1
- Erasmus Medical Center1
- Institut Français de Bioinformatique1
- Lexogen1
- The Pennsylvania State University1
- University of Freiburg1
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Target audience
- The course is aimed at biologists interested in microbiology3
- analysis of complex microbiomes and antimicrobial resistance.3
- prokaryotic genomics3
- Graduate students1
- Institutions and other external Institutions or individuals1
- Master students1
- PhD students1
- Postdocs and Staff members from the University of Cambridge1
- Researchers1
- Researchers involved or embarking upon bioinformatic analysis in metagenomic projects1
- This course is aimed at life scientists who are working in the field of metagenomics and are currently in the early stages of data analysis. Participants should have some prior experience of using bioinformatics in their research. The practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
- This course is aimed at life scientists who are working in the field of metagenomics and are currently in the early stages of data analysis. Participants should have some prior experience of using bioinformatics in their research. The practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. Participants should ensure that they complete these free tutorials before attending the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
- This course is aimed at life scientists who are working in the field of metagenomics, in the early stages of their data analysis, and who may already have some prior experience in using bioinformatics in their research. Prerequisites Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
- This course is intended for PhD students of Portuguese and international institutions (with a particular focus on students of the CIBIO-InBIO’s BIODIV, SUSFOR Doctoral Programs and University of Porto), but more experienced researchers that are initiating projects in the field of environmental metagenomics can also participate. Prerequisite knowledge No previous bioinformatics experience is required, but an undergraduate level understanding of biology would be an advantage.1
- This course is suitable for postgraduate (MSc-level and above) scientists within Latin America (excluding Chile and Uruguay) who are working with or generating genomic datasets related to communicable diseases. Ideally, trainees will be working in the field of virology. We welcome applications from universities, research centres, hospitals, public health, and private laboratories. Prerequisites Please note this course will be taught in English, however, the trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. 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. 1
- This course is suitable for postgraduate wet-lab researchers and also bioinformaticians at graduate-level upwards within Latin America who are working with and/or generating their own metagenomics datasets. Prerequisites: Undergraduate-level knowledge of biology would be advantageous. Participants will also require a basic knowledge of the Unix command line, 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 this course will be taught in English, however the trainers are fluent in either 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.1
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