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The Eukaryotic Promoter Region02:40

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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GPXplore: an intelligent computational framework for precise gene promoter extraction.

Shruti Godara1, Samarth Godara2, Shbana Begam3

  • 1ICFRE-Forest Research Institute, Dehradun, Uttarakhand, India.

Frontiers in Bioinformatics
|February 19, 2026
PubMed
Summary
This summary is machine-generated.

GPXplore is a new computational tool for precise gene promoter extraction. It offers enhanced speed and user-friendliness for genomic data analysis in gene regulation studies.

Keywords:
downstreamgene regulatorgenomicspromotersupstream

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Area of Science:

  • Genomics
  • Computational Biology

Background:

  • Accurate gene promoter region extraction is crucial for gene regulation studies.
  • Current tools lack scalability, usability, and optimal performance.

Purpose of the Study:

  • Introduce GPXplore, a user-friendly computational tool for precise gene promoter extraction.
  • Address limitations in existing tools regarding speed, scalability, and ease of use.

Main Methods:

  • Utilizes vectorized data processing for efficient sequence extraction.
  • Supports customizable parameters for defining promoter region lengths.
  • Offers both command-line and graphical user interfaces (GUI) for accessibility.

Main Results:

  • Demonstrates significant reduction in data processing time.
  • Achieved high accuracy and reliability across eight diverse genomic datasets.
  • Validated compatibility with Windows and Ubuntu operating systems.

Conclusions:

  • GPXplore provides a robust, automated, and flexible solution for high-throughput promoter analysis.
  • Facilitates gene regulation research for scientists with varying computational expertise.
  • Enhances gene editing, functional genomics, and disease research through efficient promoter extraction.