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Related Experiment Video

Updated: Sep 27, 2025

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

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Published on: October 5, 2018

Whole-genome sequence analysis through online web interfaces: a review.

A W A C W R Gunasekara¹, L G T G Rajapaksha¹, T L Tung²

¹Veterinary Medical Center and College of Veterinary Medicine, Jeonbuk National University, Jeonju 54596, Korea.

Genomics & Informatics

|April 11, 2022

Summary

This study offers a guide to free online bioinformatics tools for analyzing bacterial whole-genome sequencing (WGS) data. These resources help researchers overcome the cost and technical barriers associated with genomic data analysis.

Keywords:

average nucleotide identitys online web servers single nucleotide polymorphisms virulence factors whole-genome sequencing

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An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

Microbiology
Bioinformatics
Genomics

Background:

Whole-genome sequencing (WGS) advancements enable microbial genome analysis.
WGS projects incur significant costs and require substantial effort, particularly in data analysis.
Many research institutions lack the bioinformatics infrastructure for effective genomic data analysis.

Purpose of the Study:

To provide researchers with a guide to accessible online bioinformatics tools.
To facilitate the analysis of bacterial whole-genome sequence data.
To reduce the financial and computational barriers in genomic research.

Main Methods:

Identification and compilation of publicly available web-based bioinformatics tools.
Evaluation of tools for analyzing bacterial whole-genome sequence data.
Categorization of tools based on their analytical capabilities.

Main Results:

A curated list of user-friendly, online bioinformatics tools for WGS data analysis is presented.
These web interfaces offer cost-effective alternatives to commercial software and high-performance computing.
The guide empowers researchers to analyze genomic data without extensive bioinformatics expertise or resources.

Conclusions:

Accessible online bioinformatics tools can democratize whole-genome sequencing data analysis for bacterial genomes.
This approach significantly lowers the barrier to entry for researchers with limited resources.
The study promotes wider utilization of WGS data in microbiology research.