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LactoPRECISE: A comprehensive framework exploring Lactobacillus reuteri's genetic diversity, regulatory networks, and functional annotations for personalized medicine and microbial therapeutics. This repository presents a computational workflow to compute and characterize all iModulons for a selected organism. This occurs in five steps: Gather all publicly available RNA-seq data for the organism (Step 1) Process the RNA-seq data (Step 2) Inspect data to identify high-quality datasets (Step 3) Compute iModulons (Step 4) Characterize iModulons using PyModulon (Step 5) iModulons are independently-modulated groups of genes that are computed through Independent Component Analysis (ICA) of a gene expression dataset. To learn more about iModulons or explore published iModulons, visit iModulonDB or see our publications for Escherichia coli, Staphylococcus aureus, or Bacillus subtilis. A pre-print is being prepared for this tutorial workflow.
Machine Learning, L. reuteri, Systems Biology, Transcriptome, Probiotic
Machine Learning, L. reuteri, Systems Biology, Transcriptome, Probiotic
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