Training materials
Target audience: For beginners interested in using Python to solve problems in Biology.
and Difficulty level: Beginner
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Target audience
- For beginners interested in using Python to solve problems in Biology.
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- 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
- 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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- Senior Researchers, Lab Managers, Postdocs and PhD Students with basic knowledge of DMPs. Participants in the "Introduction to Data Management Plans" workshop.1
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- Those interesting in exploring the data contained in their microscopy images, or those planning microscopy as part of their research programme1
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