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Content provider
- Bioinformatics and Biomathematics Training Hub1
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Difficulty level
- Beginner
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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
- Helen Brown8
- Sergio Martínez Cuesta4
- Simon Andrews4
- Anne Segonds-Pichon3
- Mark Fernandes3
- Tom Freeman3
- Julie Sullivan2
- Matthew Hartley2
- Rachel Lyne2
- The John Innes Centre2
- Welsh Gene Park2
- Yo Yehudi2
- Chris Taylor1
- Daniela Butano1
- Dominic Waithe1
- Gos Micklem1
- Hugo Tavares1
- Ian Handel1
- Ian Korf1
- Justin Clark-Casey1
- Keith Bradnam1
- Kevin Herald Reierskog1
- Laura Biggins1
- Marie-Claude Blatter1
- Niall Beard1
- Peter McQuilton1
- Philippe Lemercier1
- Sandra Cortijo1
- Sergio Contrino1
- Susanna-Assunta Sansone1
- Teresa Attwood1
- The GOBLET Foundation1
- Tjelvar Olsson1
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