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Bioinformatics Training

Bioinformatics Tools & Tricks: Hands-On Tutorial for Biologists

Do you want to learn how to analyze your data using free tools and web resources? Do you want to try machine learning, artificial intelligence and predictive modelling? We will show you how to accomplish these and many other common analysis tasks within minutes, using popular free bioinformatics and statistical software. 

Each hands-on tutorial will present a sequence of analysis steps: from choosing the right tools, to analyzing the data, to making publication-quality figures. We will pay particular attention to common pitfalls in using bioinformatics software and web resources.  

No prior knowledge of computer programming, statistics or machine learning is required – all necessary concepts will be introduced during the tutorial. 

Schedule – Fall 2024

DateTimeTopic
Tue Sep 1012:00 – 1:00 PM Introduction to R programming
Tue Sep 1712:00 – 1:00 PM Data exploration and visualization in R
Tue Sep 2412:00 – 1:00 PM Statistical tests and models in R
Thu Oct 312:00 – 1:00 PM Introduction to Python Programming
Tue Oct 812:00 – 1:00 PM Biomedical data and objects in Python
Tue Oct 1512:00 – 1:00 PM Using GPU and High Performance Computing (HPC)
Tue Oct 2212:00 – 1:00 PM Jupyter Notebooks – using Python on the HPC
Tue Oct 2912:00 – 1:00 PM Reproducible data analysis & bioinformatics
Tue Nov 512:00 – 1:00 PM Introduction to machine learning in R
Tue Nov 1212:00 – 1:00 PM Introduction to deep learning and AI
Tue Nov 1912:00 – 1:00 PM AI applications in proteomics and drug design
Tue Nov 2612:00 – 1:00 PM AI imaging applications using PyTorch
Tue Dec 312:00 – 1:00 PM Genomic data analysis and visualization using Seqr
Tue Dec 1012:00 – 1:00 PMIntroduction to bulk and single cell RNA-Seq

For registration and more information, please contact Andrei Turinsky (turinsky@sickkids.ca).