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Related Experiment Video

Updated: Aug 12, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

MSABrowser: dynamic and fast visualization of sequence alignments, variations and annotations.

Furkan M Torun¹, Halil I Bilgin², Oktay I Kaplan¹

¹Rare Disease Laboratory, School of Life and Natural Sciences, Abdullah Gul University, Kayseri 38080, Turkey.

Bioinformatics Advances

|January 26, 2023

Summary

This summary is machine-generated.

MSABrowser is a new tool that allows researchers to visualize genetic variations and modifications alongside sequence alignments. This web-based JavaScript tool simplifies the analysis of DNA, RNA, and protein sequences for the scientific community.

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Last Updated: Aug 12, 2025

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Sequence alignment is crucial for comparing DNA, RNA, and protein sequences.
Integrating genetic variations, modifications, and annotations with sequence alignments is challenging.
Existing tools lack comprehensive visualization capabilities for these integrated data types.

Purpose of the Study:

To develop a user-friendly tool for co-visualizing sequence alignment data with genetic variations, modifications, and annotations.
To provide a platform for enhanced analysis of biological sequences.

Main Methods:

Developed MSABrowser as a web-based JavaScript application.
Ensured cross-platform compatibility (Linux, Mac OS X, Windows) and browser accessibility.
Designed for pairwise and multiple sequence alignment visualization.

Main Results:

MSABrowser enables seamless co-visualization of genetic variations, post-translational modifications, and protein domains on sequence alignments.
The tool facilitates the identification of correlations between sequence features and biological variations.
It supports visualization on both amino acid and nucleotide levels.

Conclusions:

MSABrowser offers an accessible and powerful solution for integrated sequence data analysis.
The open-source, web-based nature promotes widespread adoption and collaboration within the scientific community.
This tool enhances the interpretation of sequence alignments in light of genetic and functional information.