3. CLIMB
• UK-based cloud project funded by the MRC
• Designated to meet the bioinformatics need of
microbiologists
• Provide large-scale data storage and computing
capacity on demand
• Active and collaborative online community
8. Vision
To meet the bioinformatics needs of microbiologists
• Thanks to NGS researchers can now generate enormous
amount of data in a short time
• Many academics don’t have access to the
resources that they need to perform
bioinformatics analysis
CLIMB will provide these resources
10. Training
• Training microbiologist will improve
the UK microbial bioinformatics
community
• Regular practical workshops,
seminars, training images on virtual
machines
14. Award 2017
HPCwire Readers’ Choice
• Best use of HPC in Life Science
• Best HPC Collaboration (Academia
/ Government / Industry)
15. Distributed computing infrastructure
• Agile and scalable system
• 4 clusters (mix of high-memory/low CPU and low-memory/high CPU
servers)
• Storage
• Network capacity (10 gigabit/second connectivity)
• Web-based instance of the Galaxy Platform customized for microbial
research
• Free access to a database of workflow, pipelines, scripts, VM images
• Data archive
16. Beneficiaries
• Laboratory-based microbiologists to explore and integrate the biology of
pathogens and model-organisms
• Bioinformaticians, epidemiologists, and population geneticists (disease
prevention, management of infection)
• Those interested in developing new drugs, vaccines or diagnostic tests for
microbial pathogens (industrial and public health)
• Microbial ecology and environmental microbiology
Editor's Notes
UK institutional investment in microbial bioinformatics
Distributed computing infrastructure that provide agile, scalable system for the UK microbiology community.
Computational facility for the UK microbial bioinformatics and microbiology community.
Develop: open and easy-to-access repository of pipelines, scripts and programs for microbial bioinformatics.
Provide a Data Archive.
Geographical cohesion that facilitated community building and exchange of ideas.
4 clusters, substantial storage.
Dense network of collaborations.
Strengthen national microbial bioinformatics through community-building activities (hackatons, workshops, symposia)
Encourage knowledge transfer and dissemination of best practice.
User-friendly tools for analysis and visualization of data
Genomic information derived from bacterial pathogens and commensal species. Many millions of genes.
Training bioinformaticians, academic, clinical microbiologists, undergraduate and postgraduate students
Allow even non-bioinformaticians to be able to query, manipulate and mine microbial sequence data