Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing
This course is available on FutureLearn and developed by St George's University of London. This postgraduate-level course will help you understand these new and established genetic technologies, and their application to clinical practice.
Scientific topics: Rare diseases
Keywords: Rare Diseases & Research
Resource type: e-learning
Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing
https://www.futurelearn.com/courses/next-generation-sequencing
http://tess.elixir-uk.org/materials/genomic-technologies-in-clinical-diagnostics-next-generation-sequencing
This course is available on FutureLearn and developed by St George's University of London.
This postgraduate-level course will help you understand these new and established genetic technologies, and their application to clinical practice.
Rare diseases
Rare Diseases & Research
postgrad
Scientists
Healthcare
High Performance Computing (HPC) in Life Sciences
High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used...
High Performance Computing (HPC) in Life Sciences
https://edu.sib.swiss/course/view.php?name=HPCel
http://tess.elixir-uk.org/materials/high-performance-computing-hpc-in-life-sciences
High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used either as the electronic component of a blended training format or as a self-running learning product.
Robin Engler
Vassilios Ioannidis
Grégoire Rossier
Volker Flegel
Heinz Stockinger
Biology
Bioinformatics
Computer science
High performance computing, high-performance computing
PhD students
All postgraduates
Life Science Researchers