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Prediction of co-regulated genes in

Metadata Updated: September 7, 2025

Background Identification of co-regulated genes is essential for elucidating transcriptional regulatory networks and the function of uncharacterized genes. Although co-regulated genes should have at least one common sequence element, it is generally difficult to identify these genes from the presence of this element because it is very easily obscured by noise. To overcome this problem, we used conserved information from three closely related species: Bacillus subtilis, B. halodurans and B. stearothermophilus.

      Results
      Even though such species have a limited number of clearly orthologous genes, we obtained 1,884 phylogenetically conserved elements from the upstream intergenic regions of 1,568 B. subtilis genes. Similarity between these elements was used to cluster these genes. No other a priori knowledge on genes and elements was used. We could identify some genes known or suggested to be regulated by a common transcription factor as well as genes regulated by a common attenuation effector.


      Conclusions
      We confirmed that our method generates relatively few false positives in clusters with higher scores and that general elements such as -35/-10 boxes and Shine-Dalgarno sequence are not major obstacles. Moreover, we identified some plausible additional members of groups of known co-regulated genes. Thus, our approach is promising for exploring potentially co-regulated genes.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date July 24, 2025
Metadata Updated Date September 7, 2025

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date July 24, 2025
Metadata Updated Date September 7, 2025
Publisher National Institutes of Health
Maintainer
NIH
Identifier https://healthdata.gov/api/views/rywe-s7jv
Data First Published 2025-07-14
Data Last Modified 2025-09-06
Category NIH
Public Access Level public
Bureau Code 009:25
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 37f649bc-9a8f-429b-bf09-27669b1d3e0f
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://healthdata.gov/d/rywe-s7jv
Program Code 009:039
Source Datajson Identifier True
Source Hash 0eb6b7b089131ddcae5ce27030bc8ceed87628820efa78092ac167c363a77169
Source Schema Version 1.1

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