Content Providers
-
Bioinformatics and Biomathematics Training Hub
The Bioinformatics and Biomathematics Training Hub (BBTH) is a BBSRC-funded collaborative project to coordinate the development and sharing of training materials and expertise across the UK’s National Institutes of Bioscience (NIB — http://www.nib.ac.uk/) for the increasingly important areas of...
62 training materialsBioinformatics and Biomathematics Training Hub http://www.earlham.ac.uk/bbsrc-bioinformatics-and-biomathematics-training-hub https://840665.21dyvlrb.asia/content_providers/bioinformatics-and-biomathematics-training-hub The Bioinformatics and Biomathematics Training Hub (BBTH) is a BBSRC-funded collaborative project to coordinate the development and sharing of training materials and expertise across the UK’s National Institutes of Bioscience (NIB — http://www.nib.ac.uk/) for the increasingly important areas of bioinformatics and biomathematics. Guided by our NIB partners, researcher surveys, and interactions with interested bodies such as Elixir-UK, we will work to ensure that best use is made of existing assets and capabilities, that best practice is shared across the NIB, and that redundant effort is minimised going forwards. /system/content_providers/images/000/000/061/original/BBTH_logo.png?1480508618 -
Cloud-SPAN
Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project:
- Prenomics
- Genomics
- Create your own AWS...1 training materialCloud-SPAN https://cloud-span.york.ac.uk/ https://840665.21dyvlrb.asia/content_providers/cloud-span Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project: - Prenomics - Genomics - Create your own AWS instance - Metagenomics - Statistically useful experimental design - Automation & pipelines (WIP) - Core R (WIP) /system/content_providers/images/000/000/658/original/cloud-span-logo-square.png?1666085149