MicroWorldOmics: All-in-one Desktop Solution for Microbiome Profiling, Virome Analysis, and Unexplored "Dark Matter" Discovery.

Abstract

The large amount of high-throughput sequencing data generated in ecology, medicine, and pharmacology has increased the complexity of data analysis and interpretation. However, the microbiome and virome fields still lack a user-friendly and programming-free desktop application for comprehensive analysis of microbiome and virome data, with a particular gap in virome analysis and "dark matter" exploration. To address this gap, we introduce MicroWorldOmics, a plugin-based desktop application designed to offer a streamlined one-stop solution for life sciences and biomedical research. Its plugin-based architecture allows users to analyze data interactively and in parallel, simplifying tasks that typically require advanced bioinformatics skills. MicroWorldOmics is a comprehensive software suite tailored for microbiome and virome research, featuring 92 sub-applications across four main modules: epidemiology analysis, in-depth metagenomic/amplicon and virome profiling, and "dark matter" exploration. MicroWorldOmics leverages over 80 Python modules and 600 R packages for diverse bioinformatics, statistics, deep learning, and visualization tasks, accommodating multiple input and output formats including GFF3, FASTA, CSV, PNG, JPG, JSON, and TXT. To enhance user productivity, the software is compatible with Windows, Linux, and macOS systems, and includes demo data for easy benchmarking. In summary, MicroWorldOmics is intended to facilitate microbiome and virome data analysis for life sciences and biomedicine researchers without a programming background. It is available at https://hzaurzli.github.io/.