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Updated: Mar 19, 2026

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Analysis tools for the interplay between genome layout and regulation.

Costas Bouyioukos1, Mohamed Elati1, François Képès2,3

  • 1institute of Systems and Synthetic Biology (iSSB), Genopole, CNRS, Université d'Évry Val d'Essonne, Évry, France.

BMC Bioinformatics
|June 14, 2016
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Summary

This study introduces GREAT:SCAN software to analyze genome layout and gene regulation, improving transcription factor binding site predictions and revealing positional influences on gene regulation.

Keywords:
Chromosome conformationGenome expression regulationGenome organisationGenome patterns

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Area of Science:

  • Genomics
  • Bioinformatics
  • Systems Biology

Background:

  • Genome organization and gene regulation are interdependent, crucial for understanding chromosome dynamics and engineering genomes.
  • Non-random genome layouts, evidenced by conserved synteny and regular positioning of co-regulated microbial genes, are challenging to analyze with existing tools.
  • Current methods for analyzing biological datasets are often limited by data incompleteness and inaccuracies, lacking user-friendly, integrated solutions.

Purpose of the Study:

  • To present the Genome REgulatory and Architecture Tools SCAN (GREAT:SCAN) software.
  • To enable systematic analysis of genome layout and gene expression regulation interplay.
  • To improve predictions of transcription factor binding sites (TFBS) and gene regulatory networks using genomic positional information.

Main Methods:

  • Development of the GREAT:SCAN software suite.
  • Systematic analysis of genome regularities and gene positional information.
  • Application of multivariate visualization techniques to integrate sequence and positional data.

Main Results:

  • Demonstrated regular patterns in genome layout within major regulons of Escherichia coli.
  • Improved transcription factor binding site (TFBS) prediction accuracy in microbial genomes.
  • Visualized the interplay between genomic position and sequence information in transcription regulation.

Conclusions:

  • GREAT:SCAN provides a comprehensive platform for studying genome architecture and gene regulation.
  • Genomic positional information significantly enhances TFBS and regulatory network predictions.
  • Multivariate visualization effectively reveals the complex relationship between genome organization and gene expression.