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  • University of Cambridge Bioinformatics Training4
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  • HDRUK4
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• • Scientific topic
  • Chromosome walking
  • Bioinformatics4
  • Clone verification4
  • DNA-Seq4
  • DNase-Seq4
  • Data mining4
  • Data rendering4
  • Data visualisation4
  • High throughput sequencing4
  • High-throughput sequencing4
  • NGS4
  • NGS data analysis4
  • Next gen sequencing4
  • Next generation sequencing4
  • Panels4
  • Pattern recognition4
  • Primer walking4
  • Sanger sequencing4
  • Sequencing4
  • Targeted next-generation sequencing panels4
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  • Workshops and courses4
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  • Craik-Marshall Building4
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  • Cambridge4
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  • United Kingdom4
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• • Target audience
  • Anyone who is using sequencing as part of their work and/or research.
  • bioinformaticians5
  • Biologists4
  • Biologists, Genomicists, Computer Scientists4
  • Molecular Biologists4
  • Pathologists4
  • PhD students4
  • post-docs3
  • Cette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.2
  • Early Career Researchers (ECRs)1
  • Job seeker1
  • 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
  • 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
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  • United Kingdom4
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