CCMP: Software-as-a-service approach for fully-automated microbiome profiling.

Area of Science:

• Microbiology
• Bioinformatics
• Computational Biology

Background:

• Microbiome profiling is crucial for identifying disease biomarkers and therapeutics.
• Next-generation sequencing is the standard for microbiome data, but analysis tools have high entry barriers.
• Existing pipelines require specialized hardware, software installation, and command-line expertise, limiting accessibility.

Purpose of the Study:

• To develop a user-friendly, cloud-based web tool for accessible microbiome profiling.
• To integrate powerful analytical capabilities with a simplified user interface.
• To overcome the technical hurdles associated with current microbiome analysis pipelines.

Main Methods:

• Developed Cloud Computing for Microbiome Profiling (CCMP), a free Software-as-a-Service (SaaS) web tool.
• CCMP utilizes cloud computing, fast file transfer, and established microbiome analysis tools.
• The pipeline automates taxonomic annotation, abundance profiling, and statistical testing upon raw sequence data upload.

Main Results:

• CCMP successfully processed 125 GB of 16S ribosomal RNA gene sequence data from 1052 specimens in under 21 hours.
• The tool generated comprehensive reports including taxonomic annotations, statistical tests, diversity calculations (α and β), and principal coordinate analyses.
• Demonstrated the platform's capability for large-scale data analysis with user-friendly, single-step processing.

Conclusions:

• CCMP provides a fully-automated, accessible solution for large-scale microbiome data analysis.
• The platform significantly lowers the barrier to entry for microbiome research, enabling broader scientific participation.
• CCMP is poised to advance microbiome research by democratizing complex bioinformatics.