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- European Bioinformatics Institute (EBI)9
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Keyword
- Ensembl3
- European Variation Archive3
- API2
- NHGRI-EBI GWAS Catalog2
- UniProt: The Universal Protein Resource2
- Comparative genomics1
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Scientific topic
- Bioinformatics50
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- Antimicrobial stewardship12
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- Microbiological surveillance12
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Event type
- Workshops and courses9
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Country
- United Kingdom2
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Target audience
- No prior experience of bioinformatics is required, but an interest in finding out more about genetic variation resources and an undergraduate level understanding of biology would be of benefit. Experience with command line usage would be very beneficial. This workshop will focus specifically on human genetic variation. We encourage the audience to go through our introductory online course on human genetic variation prior to attending the workshop.1
- No prior experience of bioinformatics is required, but an interest in finding out more about variation resources and an undergraduate level understanding of biology would be of benefit. This workshop will focus specifically on human variation.1
- 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.1
- This workshop is aimed at bioinformaticians, software engineers and data analysts working in genomic medicine. Participants are likely to be working to set up and operate compute infrastructure and analysis pipeline to support clinical decision making in genomic medicine. Participants will require a basic knowledge of computational script writing and command line tools. Knowledge of next generation sequencing technologies and familiarity with genomic data will be useful for comprehending the content.1
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