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Content provider
- Bioinformatics and Biomathematics Training Hub1
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Difficulty level
- Beginner1
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Licence
- Other (Not Open)1
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Target audience
- Any students, postdocs or RAs who have an interest in programming and who intend to carry out computational analysis of their experimental data. Perl is often used for preparing input files for more specialized software such as R, and also to post-process the output from R and various other bioinformatics tools. It is a glue language allowing you to build pipelines of analyses of arbitrary complexity. This two day course is planned to be a gentle introduction to the basic concepts of Perl and will also introduce you to the BioPerl library of modules.1
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Author
- Govind Chandra
- Simon Andrews9
- Helen Brown8
- Anne Segonds-Pichon4
- Mark Fernandes4
- Sergio Martínez Cuesta4
- Julie Sullivan3
- Laura Biggins3
- Rachel Lyne3
- Tom Freeman3
- Vasilis Lenis3
- 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
- The John Innes Centre2
- University of Edinburgh2
- Welsh Gene Park2
- Anmol J. Hemrom1
- Aleksandra Nenadic1
- Allegra Via1
- Anne Segonds-Pichon1
- Becky Arnold1
- Carole A Goble1
- Chris Taylor1
- Dan Smith1
- Dominic Waithe1
- Emily Richardson1
- Finn Bacall1
- Hugo Tavares1
- Ian Handel1
- Ian Korf1
- 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
- Sarah Gibson1
- Teresa K Attwood1
- Tjelvar Olsson1
- University of Carolina1
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