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 2021
|Tue Sep 14||12:00 – 1:00 PM||Introduction to R programming|
|Tue Sep 21||12:00 – 1:00 PM||Exploratory data analysis in R|
|Tue Sep 28||12:00 – 1:00 PM||Data visualization in R|
|Tue Oct 05||12:00 – 1:00 PM||Statistical tests and models in R|
|Tue Oct 12||12:00 – 1:00 PM||Biomedical data analysis scenarios in R|
|Tue Oct 19||12:00 – 1:00 PM||Introduction to predictive models in R|
|Tue Oct 26||12:00 – 1:00 PM||Machine learning and classification in R|
|Tue Nov 02||12:00 – 1:00 PM||Introduction to Next-Generation Sequencing|
|Tue Nov 09||12:00 – 1:00 PM||Next-Generation Sequencing data resources|
|Tue Nov 16||12:00 – 1:00 PM||Analysis of Next-Generation Sequencing data using R|
|Tue Nov 23||12:00 – 1:00 PM||Analysis of RNA-seq data|
|Tue Nov 30||12:00 – 1:00 PM||Introduction to image analysis using neural networks|
For registration and more information, please contact Andrei Turinsky (firstname.lastname@example.org). All seminars will be conducted on Zoom, with links provided upon registration.