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Related Experiment Video

Updated: Oct 6, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

ReGSP: a visualized application for homology-based gene searching and plotting using multiple reference sequences.

Girum Fitihamlak Ejigu¹, Gangman Yi², Jong Im Kim³

¹Department of Information and Communication Engineering, Myongji University, Yongin-si, Gyeonggi-do, South Korea.

|January 17, 2022

Summary

This summary is machine-generated.

New ReGSP software enables broad homology searches for gene prediction using multiple reference sequences. This tool aids in analyzing massive sequence data from next-generation sequencing, improving gene and transcript identification in newly sequenced genomes.

Keywords:

Gene Gene search Multiple reference sequences NGS

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An Integrated Approach for Microprotein Identification and Sequence Analysis

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Next-generation sequencing technologies generate vast amounts of sequence data, necessitating advanced analysis tools.
Homology-based approaches are crucial for gene and transcript prediction in novel genomes, with BLAST-based tools being widely used.
Existing tools like Genome Search Plotter (GSP) have limitations, particularly in accepting multiple reference sequences for comprehensive homology searches.

Purpose of the Study:

To introduce multiple Reference-based Gene Search and Plot (ReGSP), a web tool designed for homology-based gene search.
To overcome the limitations of single-reference-based tools by enabling the use of multiple, user-customized reference sequences.
To provide a convenient platform for analyzing nucleotide sequence similarity and aiding gene prediction.

Main Methods:

Development of a web tool, ReGSP, that accepts multiple reference sequences for homology searches.
Integration of cPlot, a novel dot plot tool, for visualizing sequence similarity.
Implementation of an easy-to-use web interface for broad homology searches.

Main Results:

ReGSP successfully facilitates homology-based gene search using multiple reference sequences.
The integrated cPlot tool effectively illustrates nucleotide sequence similarity between query and reference sequences.
The tool provides a user-friendly interface for comprehensive genomic analysis.

Conclusions:

ReGSP offers a significant advancement for gene and transcript prediction in newly sequenced genomes, especially organelle genomes.
The ability to use multiple reference sequences enhances the breadth and accuracy of homology searches.
ReGSP is freely accessible, promoting its use in the scientific community for deciphering massive sequence data.