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- Bioinformatics and Biomathematics Training Hub1
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Difficulty level
- Beginner1
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- 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
- Helena Rasche35
- The Carpentries22
- Bazante Sanders15
- Donny Vrins13
- Saskia Hiltemann10
- Björn Grüning9
- Bérénice Batut9
- Anton Nekrutenko8
- Avans Hogeschool8
- John Chilton7
- Fotis E. Psomopoulos5
- Anthony Bretaudeau4
- John Davis3
- Lisanna Paladin3
- Maria Christina Maniou3
- Nicola Soranzo3
- Ross Lazarus3
- Youri Hoogstrate3
- Aysam Guerler2
- Dannon Baker2
- Sofoklis Keisaris2
- Alex Ostrovsky1
- András Aszódi1
- Assunta DeSanto1
- Bruna Piereck1
- Cameron Hyde1
- Carlos Martinez Ortiz1
- Clemens Blank1
- Cyril Monjeaud1
- Dave B.1
- Erik Schill1
- Estelle Ancelet1
- Gianmauro Cuccuru1
- Gildas Le Corguillé1
- Hervé Ménager1
- James Collier1
- Janick Mathys1
- Johan Gustafsson1
- Lain Pavot1
- Laura Biggins1
- Loraine Guéguen1
- Marta Lloret Llinares1
- Martin Čech1
- Matthew Hartley1
- Matthias Bernt1
- NU Knight Lab1
- Paul Zierep1
- Simon Andrews1
- Simon Bray1
- Stéphanie Legras1
- Teresa Müller1
- The John Innes Centre1
- Tjelvar Olsson1
- Toby Hodges1
- Yongbin Li1
- Yvan Le Bras1
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