Brief Protocol for EDGE Bioinformatics: Analyzing Microbial and Metagenomic NGS Data

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Next-generation sequencing (NGS) provides high-resolution data for organism detection and characterization.
• Current NGS analysis tools often demand advanced programming and command-line skills, creating a barrier for many researchers.
• A need exists for accessible platforms that simplify complex NGS data analysis.

Purpose of the Study:

• To introduce EDGE bioinformatics, a web-based platform designed for intuitive analysis of microbial and metagenomic NGS data.
• To provide scientists with limited bioinformatics experience a rapid and reproducible method for analyzing sequencing data.
• To integrate vetted public tools into a cohesive workflow for ease of use.

Main Methods:

• EDGE bioinformatics utilizes a point-and-click interface, abstracting complex programming requirements.
• The platform combines established public bioinformatics tools, ensuring reliable and reproducible analysis workflows.
• Users require only raw sequencing reads and a project ID to initiate analyses, with options to use in-house or public data (Sequence Read Archive).

Main Results:

• EDGE offers modular workflows that can be customized by enabling/disabling analyses and modifying parameters.
• Default settings provide a solid foundation for initial analysis, suitable for novice users.
• Results are presented in downloadable PDF reports with publication-quality figures, aiding interpretation.

Conclusions:

• EDGE bioinformatics democratizes NGS data analysis, making it accessible to a broader scientific audience.
• The platform facilitates rapid, reproducible, and visually informative analysis of microbial and metagenomic data.
• While EDGE simplifies the technical aspects, interpretation of results still necessitates scientific expertise.