2 materials found

Target audience: All postgraduates  or postgrad 

and

Resource type: e-learning 


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 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...

Scientific topics: Biology, Bioinformatics, Computer science

Keywords: High performance computing, high-performance computing

Resource type: Tutorial, Slideshow, e-learning

High Performance Computing (HPC) in Life Sciences 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. Biology Bioinformatics Computer science High performance computing, high-performance computing PhD students All postgraduates Life Science Researchers