Workshop 1 – Introduction to R
Tired of relying on bioinformaticians? R is the perfect environment to easily explore your data and do all the analyses and checks you’ve always dreamed of! In this workshop, we will work through the basics of R and build the foundations of your upcoming bioinformatics experience. Hands on session for R beginners.
9.15am-5pm, Friday 8th May in room N4/17, Stewart Biology building. Email us at firstname.lastname@example.org to register before Wednesday 6th May.
Workshop 2 – Advanced R for bioinformatics
This workshop will be a medley of tips and small tutorials to perform common bioinformatics analysis steps. See a description of the different topics proposed below. Please vote for the ones you prefer in this doodle (you can also propose other topics in comment). For intermediate R users (the first workshop will not be sufficient to follow).
9.15am-5pm, Friday 15th May in room N4/17, Stewart Biology building. Email us at email@example.com to register before Wednesday 6th May.
Ggplot2 package. Representing several “dimensions” of information in publication-ready graphs. Customization of legends and aesthetics aspects. Extra : Genomic regions and tracks representation.
Genomic ranges manipulation.
GenomicRanges package. Creating, comparing, merging, transforming genomic ranges. In practice : importing regions from a bed file, annotating overlapping regions, computing distance to genomic features.
Accessing available genomic annotations.
Analyzing large data.
Automation and code reduction.
How to use functions to have a modular and clear script, to facilitate reanalysis with different parameters or parameter exploration.
Advanced manipulation of data.frames.
From raw files, eg annotation/results downloaded from online resources/collaborator. Importing custom(/ugly) formats; string manipulation for data homogenization (eg to fix discordant gene/sample names).