Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome

Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome

The systems-level regulatory structure underlying gene expression in bacteria can be inferred using machine learning algorithms. Here we show this structure for Bacillus subtilis, present five hypotheses gleaned from it, and analyse the process of sporulation from its perspective.

Bibliographic Details
Main Authors: Kevin Rychel, Anand V. Sastry, Bernhard O. Palsson
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-20153-9
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spelling doaj-59f3566d3cf849209f58e55fa61b9d552021-01-31T13:23:09ZengNature Publishing GroupNature Communications2041-17232020-12-0111111010.1038/s41467-020-20153-9Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptomeKevin Rychel0Anand V. Sastry1Bernhard O. Palsson2Department of Bioengineering, University of California San DiegoDepartment of Bioengineering, University of California San DiegoDepartment of Bioengineering, University of California San DiegoThe systems-level regulatory structure underlying gene expression in bacteria can be inferred using machine learning algorithms. Here we show this structure for Bacillus subtilis, present five hypotheses gleaned from it, and analyse the process of sporulation from its perspective.https://doi.org/10.1038/s41467-020-20153-9
collection DOAJ
language English
format Article
sources DOAJ
author Kevin Rychel
Anand V. Sastry
Bernhard O. Palsson
spellingShingle Kevin Rychel
Anand V. Sastry
Bernhard O. Palsson
Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
Nature Communications
author_facet Kevin Rychel
Anand V. Sastry
Bernhard O. Palsson
author_sort Kevin Rychel
title Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
title_short Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
title_full Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
title_fullStr Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
title_full_unstemmed Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
title_sort machine learning uncovers independently regulated modules in the bacillus subtilis transcriptome
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-12-01
description The systems-level regulatory structure underlying gene expression in bacteria can be inferred using machine learning algorithms. Here we show this structure for Bacillus subtilis, present five hypotheses gleaned from it, and analyse the process of sporulation from its perspective.
url https://doi.org/10.1038/s41467-020-20153-9
work_keys_str_mv AT kevinrychel machinelearninguncoversindependentlyregulatedmodulesinthebacillussubtilistranscriptome
AT anandvsastry machinelearninguncoversindependentlyregulatedmodulesinthebacillussubtilistranscriptome
AT bernhardopalsson machinelearninguncoversindependentlyregulatedmodulesinthebacillussubtilistranscriptome
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