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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 2023

Tue Sep 1212:00 – 1:00 PM Introduction to R programming
Tue Sep 1912:00 – 1:00 PM Exploratory data analysis in R 
Mon Sep 2512:00 – 1:00 PM Data visualization in R 
Tue Oct 312:00 – 1:00 PM Introduction to Next-Generation Sequencing
Tue Oct 1012:00 – 1:00 PM RNAseq: bulk and single-cell analysis in R
Tue Oct 1712:00 – 1:00 PM Genomic variant interpretation using Seqr
Tue Oct 2412:00 – 1:00 PM Data analysis reproducibility using Git
Tue Oct 3112:00 – 1:00 PM High-Performance Computing (HPC) – how to use it in research
Tue Nov 712:00 – 1:00 PM Introduction to Python programming
Tue Nov 1412:00 – 1:00 PM Jupyter Notebooks – An introduction to using Python on the HPC
Tue Nov 2112:00 – 1:00 PM Biomedical data wrangling with Python and Pandas
Tue Nov 2812:00 – 1:00 PM Introduction to machine learning and AI
Tue Dec 512:00 – 1:00 PM Introduction to deep learning and AI in Python

For registration and more information, please contact Andrei Turinsky (