Training materials
Content provider: Bioinformatics and Biomathematics Training Hub
and Authors: The John Innes Centre
and Node: United Kingdom
2 materials found
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Scientific topic
- Algorithms1
- Bayesian methods1
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- Inferential statistics1
- Markov processes1
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Content provider
- Bioinformatics and Biomathematics Training Hub
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Difficulty level
- Beginner2
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- Other (Not Open)2
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Target audience
- Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.1
- Any students, postdocs or RAs who have an interest in bioinformatics and who intend to conduct their own analyses on a Linux platform. Those intending to register for the upcoming Introduction to HPC course are very strongly encouraged to attend this short (two morning) course and it should be seen as a prerequisite for later courses to be offered on ChIP-Seq analysis and command line/Galaxy implementations of NGS workflows.1
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Author
- The John Innes Centre
- Simon Andrews9
- Helen Brown8
- Anne Segonds-Pichon4
- Mark Fernandes4
- Laura Biggins3
- Tom Freeman3
- Vasilis Lenis3
- Boo Virk2
- Martin Vickers2
- Matthew Hartley2
- Sam Lycett2
- Welsh Gene Park2
- Anmol J. Hemrom1
- Anne Segonds-Pichon1
- Chris Taylor1
- Dan Smith1
- Emily Richardson1
- Govind Chandra1
- Ian Handel1
- Ian Korf1
- Keith Bradnam1
- Michael Squance1
- Ross Fitzgerald1
- Tjelvar Olsson1
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