G-DOC Plus - an integrative bioinformatics platform for precision medicine

Area of Science:

• Bioinformatics and Computational Biology
• Genomics and Precision Medicine
• Data Science in Healthcare

Background:

• G-DOC Plus is a cloud-based bioinformatics platform designed for integrating and analyzing large-scale biomedical data.
• It handles diverse data types such as gene expression arrays, next-generation sequencing (NGS), and medical images.
• The platform facilitates analysis within the comprehensive context of other omics and clinical information.

Purpose of the Study:

• To present G-DOC Plus as a versatile platform for biomedical research.
• To demonstrate its utility in hypothesis generation, biomarker discovery, and multi-omics analysis.
• To showcase its application in cancer and non-cancer studies, as well as bioinformatics education.

Main Methods:

• Utilizes cloud computing and advanced computational tools for data integration.
• Incorporates data from public and private resources, including GEO, TCGA, REMBRANDT, caArray, ImmPort, and 1000 Genomes.
• Offers researchers tools to explore clinical-omic data at sample, cohort, and population levels.

Main Results:

• G-DOC Plus hosts data from over 10,000 patients.
• The platform enables comprehensive data exploration and has been used for hypothesis generation, validation, and biomarker discovery.
• Its tools support multi-omics analysis, exploration of somatic mutations, cancer MRI images, and bioinformatics training.

Conclusions:

• G-DOC Plus supports hypothesis generation for precision medicine research across various user groups and domains.
• The platform aims to evolve with emerging omics technologies to continuously aid integrative biomedical research.
• It strengthens precision medicine by integrating diverse disease data elements through a web interface.