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Scientific topic
- Algorithms1
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Content provider
- Bioinformatics and Biomathematics Training Hub2
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Difficulty level
- Beginner2
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Licence
- 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
- Sergio Martínez Cuesta4
- Julie Sullivan3
- Laura Biggins3
- Rachel Lyne3
- Tom Freeman3
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- Yo Yehudi3
- Boo Virk2
- Daniela Butano2
- Gos Micklem2
- Justin Clark-Casey2
- Kevin Herald Reierskog2
- Martin Vickers2
- Matthew Hartley2
- Niall Beard2
- Sam Lycett2
- Sergio Contrino2
- Susanna-Assunta Sansone2
- Teresa Attwood2
- The GOBLET Foundation2
- University of Edinburgh2
- Welsh Gene Park2
- Anmol J. Hemrom1
- Aleksandra Nenadic1
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- Anne Segonds-Pichon1
- Becky Arnold1
- Carole A Goble1
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- Finn Bacall1
- Govind Chandra1
- Hugo Tavares1
- Ian Handel1
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- Jessica Lindvall1
- Keith Bradnam1
- Kirstie Whitaker1
- Louise Bowler1
- Marie-Claude Blatter1
- Michael Squance1
- Milo Thurston1
- Patricia Herterich1
- Patricia Palagi1
- Peter McQuilton1
- Philippe Lemercier1
- Rochelle E. Tractenberg1
- Rosie Higman1
- Ross Fitzgerald1
- Sandra Cortijo1
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- Teresa K Attwood1
- Tjelvar Olsson1
- University of Carolina1
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