Multi-omics analysis sandbox toolkit for swift derivations of clinically relevant genesets and biomarkers

• Published in: BMB reports 2024, 57(12), , pp.521-526
• Main Authors: Lee, Jin-Young, Park, Won, Kim, Hyunjoong, Lee, Hong Seok, Kang, Tae-Wook, Shin, Dong-Hun, Kim, Kyung Su, Lee, Yoon Kyeong, Kim, Seon-Young, Park, Ji Hwan, Kim, Young-Joon
• Format: Article
• Language: English
• Subjects: 화학
• ISSN: 1976-6696; 1976-670X
• DOI: 10.5483/BMBRep.2023-0155

The utilization of multi-omics research has gained popularity in clinical investigations. However, effectively managing and merging extensive and diverse datasets presents a challenge due to its intricacy. This research introduces a Multi-Omics Analysis Sandbox Toolkit, an online platform designed to facilitate the exploration, integration, and visualization of datasets ranging from single-omics to multi-omics. This platform establishes connections between clinical data and omics information, allowing for versatile analysis and storage of both single and multi-omics data. Additionally, users can repeatedly utilize and exchange their findings within the platform. This toolkit offers diverse alternatives for data selection and gene set analysis. It also presents visualization outputs, potential candidates, and annotations. Furthermore, this platform empowers users to collaborate by sharing their datasets, analyses, and conclusions with others, thus enhancing its utility as a collaborative research tool. This Multi-Omics Analysis Sandbox Toolkit stands as a valuable asset in comprehensively grasping the influence of diverse factors in diseases and pinpointing potential biomarkers.