Using MLFlow to Track Machine Learning Projects in Bioinformatics

Explore MLFlow, a platform for managing the machine learning lifecycle; Learn practical skills for experiment tracking, model deployment, and collaboration in bioinformatics research. Examples will focus on bioinformatics examples, but MLFlow can be applied to any discipline. 

Requirements: 

• Basic command line and  

• Familiarity with basic Python coding

• A registered CyVerse account (Register for CyVerse account)

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• 09/03  Exploring Analysis  Platforms and High-Performance Computing Resources for Bioinformatics - YouTube 

• 09/10  Intro to Essential Tools for Every Bioinformatician - YouTube

• 09/17  An Introduction to Sequence Manipulation, Alignment, and Assessment for Bioscience Analyses - YouTube 

• 09/24  Using Nextflow for Streamlining Bioscience Analysis Pipelines - YouTube 

• 10/01  Using Snakemake for Streamlining Data Analysis Pipelines - YouTube 

• 10/08  A Beginners Guide to Gene Expression: Diving into DESeq Analysis - YouTube

• 10/15  Fundamentals of Data Visualization - YouTube

• 10/22  Explore Current AI/ML Trends and Tools in Bioinformatics  

• 10/29  Using MLFlow to Track Machine Learning Projects in Bioinformatics