Machine learning of all mycobacterium tuberculosis h37rv rna-seq data reveals a structured interplay between metabolism, stress response, and infection

HIGHLIGHTS

• who: Reo Yoo and collaborators from the Department of Energy Joint Genome InstituteUniversity of California San Diego, La Jolla, California, USA have published the paper: Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection, in the Journal: (JOURNAL) of 07/Dec/2022
• what: The authors show that iModulons (i) reveal the function of poorly characterized regulons (ii) describe the transcriptional shifts that occur during environmental changes such as shifting carbon sources oxidative stress and infection events and_(iii) identify intrinsic clusters of regulons that . . .
  

   

  

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