ODG: Omics database generator - a tool for generating, querying, and analyzing multi-omics comparative databases to...

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Omics data generation is rapidly increasing, leading to fragmented datasets.
• Lack of systemic integration hinders knowledge discovery and linking in-lab data to public resources.
• Relating new data to broader genomic contexts is crucial for maximizing data utility.

Purpose of the Study:

• To develop a tool for integrating diverse omics and experimental data.
• To enable comparative genomic analysis and multi-layered annotation.
• To provide a flexible platform for querying integrated biological datasets.

Main Methods:

• The Omics Database Generator (ODG) utilizes a graph database approach.
• It integrates published genomics data with experimental data.
• ODG imports annotations from external sources like Gene Ontology and InterProScan.

Main Results:

• ODG generates customized, comparative, multi-dimensional graph databases.
• It provides rapid annotation for predicted genes, especially in understudied species.
• The tool supports common genomic formats and offers web-based and command-line querying.

Conclusions:

• ODG is a user-friendly tool for generating and querying comparative genomic databases.
• It accelerates genomic annotation, benefiting research on non-model organisms.
• ODG supports complex multi-omics queries for well-studied species.