NGPINT V3: a containerized orchestration Python software for discovery of next-generation protein-protein...

Area of Science:

• Biochemistry
• Computational Biology
• Genomics

Background:

• Yeast two-hybrid (Y2H) assays coupled with next-generation sequencing (NGS) are powerful tools for studying protein-protein interactions.
• The NGPINT software facilitates the analysis of large datasets generated by Y2H-NGS screens.
• Previous versions of NGPINT faced compatibility and dependency challenges, hindering widespread adoption and effective use.

Purpose of the Study:

• To address the installation and operational issues of the NGPINT software.
• To provide an updated, accessible, and robust version of NGPINT for Y2H-NGS data analysis.
• To ensure continued compatibility with companion software like Y2H-SCORES.

Main Methods:

• Containerization of NGPINT using Singularity and Docker technologies.
• Streamlining software dependencies for easier installation and execution.
• Hosting container images on platforms like Sylabs and Dockerhub for broad accessibility.

Main Results:

• NGPINT V3 is now compatible with diverse operating systems and computing environments.
• The containerized implementation simplifies the integration of NGPINT into high-throughput and cloud-computing workflows.
• Easier adoption and utilization of NGPINT for analyzing complex protein-protein interaction data.

Conclusions:

• NGPINT V3 represents a significant advancement in analyzing Y2H-NGS data, overcoming previous limitations.
• The containerized approach enhances the accessibility and usability of sophisticated bioinformatics tools.
• This update supports more effective and efficient research into protein-protein interactions.