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 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 2026
Schedule – Spring 2026
Date Time Topic Mon Jun 1 9:00 am – 12:00 pm Analysis of RNA-sequencing Data Mon Jun 1 1:30 – 4:30 pm Long-read Sequencing Applications Wed Jun 3 9:00 – 10:25 am Introduction to R Shiny Thurs Jun 4 9:00 – 11:00 am Hands-on Introduction to R Programming Mon Jun 8 10:35 am – 12:00 pm Extracting Information from Health Data using AI Thurs Jun 11 9:00 am – 12:00 pm Data Visualization and Statistics in R Programming Thurs Jun 25 10:00 – 11:30 am Machine Learning Methods in R Thurs Jul 16 10:00 – 11:30 am Free tools for Reproducible Computational Research
Schedule – Fall 2025
Date Time Topic Tues Sep 9 12:00 – 1:00 pm Introduction to R Programming Tues Sep 16 12:00 – 1:00 pm Data exploration and visualization in R Tues Sep 23 12:00 – 1:00 pm Statistical tests and models in R Mon Sep 29 12:00 – 1:00 pm Introduction to Python Programming Tues Oct 7 12:00 – 1:00 pm Biomedical data and objects in Python Tues Oct 14 12:00 – 1:00 pm Accelerating research with GPU on High Performance Computing Cluster (HPC) Tues Oct 21 12:00 – 1:00 pm Using Python, Jupyter and RStudio on HPC Tues Oct 28 12:00 – 1:00 pm Free tools and resources for proteomics Tues Nov 4 12:00 – 1:00 pm Reproducible data analysis & bioinformatics Tues Nov 11 10:00 am – 1:00 pm CCM-RTC Boot Camp: Introduction to Machine Learning and AI Tues Nov 18 12:00 – 1:00 pm Affordable Data Storage for Research – How iRODS on HPC Can Help Tues Nov 25 12:00 – 1:00 pm Genomic data analysis and visualization using Seqr Tues Dec 2 12:00 – 1:00 pm Genomics and transcriptomics pipelines Mon Dec 8 12:00 – 1:00 pm Introduction to single-cell transcriptomics
Schedule – Spring 2025
Date Time Topic Tues May 20 1 – 4 pm Python Programming and Data Analysis Tues May 27 9 am – 12 pm R Programming and Data Analysis Tues Jun 3 9 am – 12 pm Introduction to Machine Learning and AI Wed Jun 4 9 am – 12 pm Analysis of RNA-sequencing Data Fri Jun 6 9 am – 12 pm Long-read Sequencing Applications Tues Jun 17 9 am – 12 pm Introduction to Statistics in R: Part 1 Tues Jun 24 9 am – 12 pm Introduction to Statistics in R: Part 2
Schedule – Fall 2024
Date Time Topic Tues Sep 10 12:00 – 1:00 PM Introduction to R programming Tues Sep 17 12:00 – 1:00 PM Data exploration and visualization in R Tues Sep 24 12:00 – 1:00 PM Statistical tests and models in R Thurs Oct 3 12:00 – 1:00 PM Introduction to Python Programming Tues Oct 8 12:00 – 1:00 PM Biomedical data and objects in Python Tues Oct 15 12:00 – 1:00 PM Using GPU and High Performance Computing (HPC) Tues Oct 22 12:00 – 1:00 PM Jupyter Notebooks – using Python on the HPC Tues Oct 29 12:00 – 1:00 PM Reproducible data analysis & bioinformatics Tues Nov 5 12:00 – 1:00 PM Introduction to machine learning in R Tues Nov 12 12:00 – 1:00 PM Introduction to deep learning and AI Tues Nov 19 12:00 – 1:00 PM AI applications in proteomics and drug design Tues Nov 26 12:00 – 1:00 PM AI imaging applications using PyTorch Tues Dec 3 12:00 – 1:00 PM Genomic data analysis and visualization using Seqr Tues Dec 10 12:00 – 1:00 PM Introduction to bulk and single cell RNA-Seq
For registration and more information, please contact Andrei Turinsky (turinsky@sickkids.ca ).
