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Content provider
- European Bioinformatics Institute (EBI)36
- Australian BioCommons18
- BioExcel1
- Birmingham Metabolomics Training Centre1
- Centre for Genomic Regulation (CRG)1
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- INB: Spanish National Bioinformatics Institute1
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Keyword
- DNA & RNA (dna-rna)27
- Ensembl26
- Ensembl Variant Effect Predictor23
- Ensembl Genomes21
- Bioinformatics16
- Workflows8
- Nextflow7
- Introductory6
- bioinformatics6
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- life sciences3
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- Genes2
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- H3ABioNet GWAS 2018 Lecture Series2
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- Linux1
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Scientific topic
- Bioinformatics
- Data management69
- Metadata management69
- Research data management (RDM)69
- Genome annotation45
- Exomes42
- Genomes42
- Genomics42
- Personal genomics42
- Synthetic genomics42
- Viral genomics42
- Whole genomes42
- Active learning30
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- Unsupervised learning30
- Data archival29
- Data archiving29
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- Data curation and archival29
- Data preservation29
- Database curation29
- Research data archiving29
- Biomathematics27
- Computational biology27
- Mathematical biology27
- Theoretical biology27
- FAIR data26
- Findable, accessible, interoperable, reusable data26
- Protein function analysis26
- Protein function prediction26
- Pipelines25
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- Antimicrobial stewardship24
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- Protein bioinformatics24
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- Comparative transcriptomics22
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- DNA variation17
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- Data visualisation16
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- Whole transcriptome shotgun sequencing16
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- Exometabolomics15
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- MS-based targeted metabolomics15
- MS-based untargeted metabolomics15
- Mass spectrometry-based metabolomics15
- Metabolites15
- Metabolome15
- Metabolomics15
- Metabonomics15
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Operation
- Allele calling1
- Biological pathway analysis1
- Biological pathway modelling1
- Biological pathway prediction1
- Data analysis1
- Data handling1
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- Exome variant detection1
- File handling1
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- Somatic variant calling1
- Utility operation1
- Variant calling1
- Variant mapping1
- Visualisation1
- de novo mutation detection1
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Target audience
- Wet-lab researchers and bioinformaticians8
- PhD students6
- bioinformaticians6
- Biologists4
- Anyone intersted in GWAS and using the H3Africa genotyping chip3
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Biologists, Genomicists, Computer Scientists3
- Life Science Researchers3
- post-docs3
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
- Master students2
- Molecular Biologists2
- Pathologists2
- 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.2
- Anyone who wants to learn more about GWAS1
- Beginner1
- Bioinformaticians1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformaticians and wet-lab biologists1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Biophysicists1
- Computational biologists1
- Core Facility Managers1
- Early Career Researchers (ECRs)1
- HPC users1
- Job seeker1
- PhD Students1
- PhD candidates1
- Postdoctoral Researchers1
- Researcher in life sciences1
- Researchers1
- Scientists1
- Small and Medium-sized Enterprises (SMEs)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 SARS-CoV-2. Ideally, trainees will be working in the field of virology, and performing sequencing and/or analysing viral sequences, especially those within the coronaviridae family. 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. Please note this course will be taught in English, however the trainers are fluent in either Spanish or Portuguese and can offer language support where feasible. Attendance priority will be given to those who have not attended a CABANA event yet. Prerequisites Undergraduate-level knowledge of biology would be advantageous. You will also require access to a computer for the duration of the workshop. While most practicals are browser-based, a few will require a UNIX environment. Trainees will therefore require a basic knowledge of the Unix command line. 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 Training will be delivered via Zoom; trainees need to ensure they have working audio and microphones.1
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis. 1
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis.1
- data curators1
- data scientists1
- engineers1
- pan-genome users1
- post-doctoral researchers and principle investigators working in wet-lab biology. Participants who are looking for a basic introduction to the bioinformatics resources offered by the EMBL-EBI and want to know more about accessing biological data and tools.1
- postdoc1
- postdocs.1
- research software engineers and research data managers working with ELIXIR-supported tools and resources1
- researchers1
- software developers, bioinformaticians1
- tool developers1
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Language
- English4
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Instructor
- Aleena Mushtaq19
- Michal Szpak11
- Benjamin Moore7
- Louisse Paola Mirabueno5
- Anna Swan4
- Emily Perry3
- Sarah Morgan3
- Alex Bateman2
- Alexandra Holinski2
- David Armstrong2
- Lee Larcombe2
- Nikiforos Karamanis2
- Peter McQuilton2
- Agustin Pardo1
- Aleena Mushtaq, Michal Szpak1
- Andrew Hercules1
- Anja Fullgrabe1
- Baron Koylass1
- Ben Moore1
- Boris Adryan1
- Cath Brooksbank1
- Christine Orengo1
- Claudio Schuster1
- Dario Fernández Do Porto1
- Deborah Harrus1
- Diego Forero1
- Emily Bowler-Barnett1
- Fabio Madeira1
- Gilderlanio Santana de Araujo1
- Gisele Nunes Lopes1
- Guy Naamati1
- Hedi Peterson1
- Hema Bye-A-Jee1
- Jan Kreuze1
- John Berrisford1
- Kausthubh Ramachandran1
- Krishna Tiwari1
- Marco Cristancho1
- Maria Zimmermann1
- Mohamed Alibi1
- Monica Abrudan1
- Nancy George1
- Nandana Madhusoodanan1
- Patricia Carvajal Lopez1
- Priit Adler1
- Priscila Born1
- Rahuman Sheriff1
- Sander Wuyts1
- Sarah Butcher1
- Sarah Dyer1
- Segundo Fuentes1
- Selene L. Fernandez-Valverde1
- Ugis Sarkans1
- Valentina Gallo1
- Vera Matser1
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