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oa CLIMB (the Cloud Infrastructure for Microbial Bioinformatics): an online resource for the medical microbiology community
- Authors: Thomas R. Connor1,† , Nicholas J. Loman2,† , Simon Thompson3,† , Andy Smith2 , Joel Southgate1 , Radoslaw Poplawski2,3 , Matthew J. Bull1 , Emily Richardson2 , Matthew Ismail4 , Simon Elwood- Thompson5 , Christine Kitchen6 , Martyn Guest6 , Marius Bakke7 , Samuel K. Sheppard8,† , Mark J. Pallen7,†
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1 1Cardiff University School of Biosciences, The Sir Martin Evans Building, Cardiff University, Cardiff CF10 2AX, UK 2 2Institute of Microbiology and Infection, University of Birmingham, Birmingham B15 2TT, UK 3 3IT Services (Research Computing), University of Birmingham, Birmingham B15 2TT, UK 4 4Centre for Scientific Computing, University of Warwick, Coventry CV4 7AL, UK 5 5College of Medicine, Swansea University, Swansea, UK 6 6Advanced Research [email protected] (ARCCA), Cardiff University, UK 7 7Microbiology and Infection Unit, Warwick Medical School, University of Warwick, Coventry, UK 8 8The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK
- Correspondence Thomas R. Connor ([email protected])
- First Published Online: 01 September 2016, Microbial Genomics , 2016 2, doi: 10.1099/mgen.0.000086
- Subject: Short Paper - Systems Microbiology - Pangenome analysis
- Received:
- Accepted:
- Cover date:
- This is an open access article published by the Microbiology Society under the Creative Commons Attribution License




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The increasing availability and decreasing cost of high-throughput sequencing has transformed academic medical microbiology, delivering an explosion in available genomes while also driving advances in bioinformatics. However, many microbiologists are unable to exploit the resulting large genomics datasets because they do not have access to relevant computational resources and to an appropriate bioinformatics infrastructure. Here, we present the Cloud Infrastructure for Microbial Bioinformatics (CLIMB) facility, a shared computing infrastructure that has been designed from the ground up to provide an environment where microbiologists can share and reuse methods and data.
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†
These authors contributed equally to this work.
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All supporting data, code and protocols have been provided within the article or through
supplementary data files.
- Keyword(s): bioinformatics, population genomics, infrastructure, virtual laboratory, metagenomics, cloud computing
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Abbreviation: HPC high-performance computing
© 2016 The Authors | Published by the Microbiology Society
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