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.
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.
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