Introduction to the iModulonMiner using public B. subtilis RNA-seq data as a case study.

a) Graphical representation of the five step workflow. b) Pie chart illustrating the quality control process. Numbers at the beginning of arrows represent the number of datasets before the quality control step, and numbers at the end represent the numbe...

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Bibliographic Details
Main Author:	Anand V. Sastry (6619310) (author)
Other Authors:	Yuan Yuan (25702) (author), Saugat Poudel (4908823) (author), Kevin Rychel (11611165) (author), Reo Yoo (11611171) (author), Cameron R. Lamoureux (11815464) (author), Gaoyuan Li (838688) (author), Joshua T. Burrows (19935456) (author), Siddharth Chauhan (2346199) (author), Zachary B. Haiman (5607746) (author), Tahani Al Bulushi (19935459) (author), Yara Seif (4908814) (author), Bernhard O. Palsson (91399) (author), Daniel C. Zielinski (10048404) (author)
Published:	2024
Subjects:	Microbiology Genetics Molecular Biology Developmental Biology Hematology Infectious Diseases Plant Biology Computational Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified undiscovered transcription factors recently discovered single rapidly expanding resource multiple transcription factors extract actionable knowledge predicted regulatory interactions explore computed imodulons bacillus subtilis </ step computational pipeline div >< p predicted properties called imodulons imodulonminer </ unsupervised mining rapid understanding python package putatively regulated organism responses identified groups given organism expressed genes driven computation diverse perturbations diverse organisms centered around cell type broad applications bioinformatics workflows also present
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Introduction to the iModulonMiner using public <i>B</i>. <i>subtilis</i> RNA-seq data as a case study.

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