Following on from the success of last year's Best Practices in Bioinformatics Training workshop, the ABACBS Education sub-committee will once again organise a workshop in association with the ABACBS conference, in Adelaide in November.
For our Education and Training workshop on Nov 16th and 17th we have 2 topics: Using Open Science in Bioinformatics Training (1 day) and a Train-the-Trainer (1 day).
The Using Open Science in Bioinformatics Training day will cover aspects of open science in bioinformatics training and will consist of invited and contributed talks and panel discussions for more informal interactive sessions. What is open science?
The Train-the-Trainer day will consist of a small group workshop for those who are interested in learning more about how people learn, what makes a good workshop and how to design a short course to teach to others.
This workshop will be delivered by instructors who have been trained to deliver a Train-the-Trainer workshop by the European Bioinformatics Institute
Hands-on workshop: Bioconductor / Shiny for genomic analysis
Overview. DNA sequence analysis generates large volumes of data that present challenging bioinformatic and statistical problems. This tutorial introduces established and new Bioconductor packages and workflows for analyzing high-throughput sequence data. The Bioconductor project (http://bioconductor.org) is a widely used collection of over 1,200 R packages for high-throughput genomic analysis. Approaches for efficiently manipulating sequences and alignments and other common work flows will be covered along with the unique statistical challenges associated with 'RNAseq', variant annotation and other experiments. The emphasis is on exploratory analysis, and the analysis of designed experiments. The workshop will touch on the Biostrings, ShortRead, GenomicRanges, VariantAnnotation, and other packages, with short exercises to illustrate the functionality of each package.
The Shiny (http://shiny.rstudio.com) library and web server make it possible to create an interactive interface to R code and graphics. In the second part of this workshop, participants will write a simple genome browser using Shiny, in the process learning the basics of Shiny and how to set up a Shiny application. By the end of the workshop, participants will be able to create their own interactive apps allowing sharing of analyses with collaborators.