Orione, a web-based framework for NGS analysis in microbiology

Area of Science:

• Microbiology
• Bioinformatics
• Computational Biology

Background:

• Next-generation sequencing (NGS) data analysis in microbiology requires diverse tools for tasks like bacterial resequencing, assembly, RNA-Seq, and metagenomics.
• Integrating various software packages into computational pipelines is challenging due to issues with interoperability, reproducibility, and transparency.

Purpose of the Study:

• To present Orione, a Galaxy-based framework designed to streamline end-to-end NGS microbiology data analysis.
• To overcome the limitations of current computational pipeline construction by providing a unified, reproducible, and transparent solution.

Main Methods:

• Orione utilizes publicly available research software and specifically designed pipelines within the Galaxy framework.
• It enables the construction of complex, reproducible workflows for various NGS microbiology analyses.

Main Results:

• Orione facilitates custom data analysis and manipulation for microbiology researchers without requiring software installation or programming expertise.
• It enhances opportunities for data-intensive computational analyses in microbiology and metagenomics.

Conclusions:

• Orione provides a robust and accessible platform for reproducible NGS data analysis in microbiology.
• The framework empowers researchers to conduct advanced computational analyses, advancing the fields of microbiology and metagenomics.