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• • Content provider
  • European Bioinformatics Institute (EBI)
  • iAnn473
  • University of Cambridge Bioinformatics Training345
  • EMBL-ABR103
  • Australian BioCommons40
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  • IFB French Institute of Bioinformatics4
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  • NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology1
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• • Keyword
  • Ensembl28
  • DNA & RNA (dna-rna)27
  • Ensembl Variant Effect Predictor23
  • Ensembl Genomes21
  • Cross domain (cross-domain)5
  • Project management5
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  • UniProt: The Universal Protein Resource1
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• • Scientific topic
  • Bioinformatics
  • Genome annotation29
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  • Protein structure20
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  • RNA-Seq analysis15
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  • Comparative transcriptomics13
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• • Event type
  • Workshops and courses49
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• • Venue
  • European Bioinformatics Institute, Hinxton13
  • EBI, Wellcome Genome Campus8
  • EMBL-EBI, Wellcome Genome Campus6
  • University of Cambridge, Downing Street2
  • Max Planck Institute of Molecular Physiology, Otto-Hahn-Straße 111
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• • Country
  • United Kingdom29
  • Germany1
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• • Target audience
  • Wet-lab researchers and bioinformaticians9
  • Bioinformaticians and wet-lab biologists who can program in Python or R.3
  • Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
  • 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
  • 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. Though programming skills are not a prerequisite for attending the course, we will ask participants to specify their current level of programming skills in the applications. This will allow the mentors to target the group projects better to the skills and needs of the final course participants.1
  • Experience from previous years has led to preference being given to candidates who: are doctoral candidates in the early to middle stages of their thesis research already have some familiarity with phylogenetic methods (i.e. have already used some of the relevant tools) have already collected/assembled a molecular sequence dataset to analyze in their work have experience of working in a Unix/Linux command-line environment We will also select a small number of participants that already work in bioinformatics labs, to intensify collaboration between early career stage biologists and bioinformaticians. Applicants from labs with a strong focus on computational molecular evolution methodology need to carefully outline their motivation for attending the course in this context, since they have ready access to expert supervision and are likely to be very skilled already in the topics we teach, or are in the course of becoming very skilled therein. The course is also suitable for established researchers who would like to refresh their memory of modern statistical methods for phylogenetic analysis of genomic sequence data and to interact with developers of such methods.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 bench biologists working in the area of discovery science who want to learn more about bioinformatics tools and resources. No prior knowledge of bioinformatics is required and no experience of programming or the use of Unix / Linux is necessary.1
  • This course is aimed at both new and established investigators who lead a research team which currently uses bioinformatics, or where bioinformatics will be a component in future research. No prior knowledge of bioinformatics, or experience of analysis is required for this course.1
  • This course is aimed at individuals working across biological 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 skills and knowledge further. No previous knowledge of programming / coding is required for this course.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
  • 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 researchers working in molecular physiology with intertests in biology, chemistry and physics. It will be useful for scientists wanting to learn more about biomolecular data resources and how bioinformatics tools can be used to learn more about the function and interactions of proteins of interest. 1
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  • EMBL-EBI49
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