The GOBLET workshop and InCoB 2019 workshops are free of charge for InCoB 2019 participants. Due to a very limited availability, we encourage you to select your preferred workshop soon.
All workshops require participants to bring their own laptops.
Click here to register!
International participants: https://perdana.apbionet.org/incob/
Local participants: https://register.incob2019.org
WORKSHOP 1
Detecting differentially expressed genes with RNA-seq
This workshop introduces the participants to RNA-seq data analysis methods, tools and file formats. It covers the whole workflow from quality control and alignment to quantification and differential gene expression analysis. The workshop consists of lectures and practical exercises. The free and user-friendly Chipster software is used in the exercises, so no previous knowledge of Unix or R is required, and the workshop is thus suitable for everybody.
WORKSHOP 2
An introduction to the Galaxy platform for computational biology – with real-world hands-on demonstration
Galaxy is a scientific workflow platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience. By providing a graphical, web-based interface for running bioinformatics tools and pipelines, Galaxy removes the need to learn complex command-line syntax or the need to interact with computational job management systems.
WORKSHOP 3
Protein Sequence and Structure Analysis Using Google Cloud Engine
The computational needs of bioinformatics are constantly increasing. Although sophisticated ready-made tools are increasingly available, in order to fully control their methods, bioinformaticians and other data scientists will need to write or modify their own software. Recently, there has also been a shift in computational architectures, from single-core desktop and laptop computers to multicore and distributed systems
WORKSHOP 4
Train the trainer Workshop
This interactive Train-the-Trainer workshop aims to provide individuals new to training, or those wishing to develop their skills, with guidance and tips for developing and delivering training in bioinformatics, exploring a range of methods appropriate to different learning styles, examining the requirements for a successful course and acquiring appropriate feedback.
