OmicsVolcano: software for intuitive visualization and interactive exploration of high-throughput biological data

Irina Kuznetsova; Artur Lugmayr; Oliver Rackham; Aleksandra Filipovska

doi:10.1016/j.xpro.2020.100279

OmicsVolcano: software for intuitive visualization and interactive exploration of high-throughput biological data

STAR Protoc. 2021 Jan 21;2(1):100279. doi: 10.1016/j.xpro.2020.100279. eCollection 2021 Mar 19.

Authors

Irina Kuznetsova^{1

2

3}, Artur Lugmayr^{4

5}, Oliver Rackham^{1

2

6

7

8}, Aleksandra Filipovska^{1

2

3

7

8

9}

Affiliations

¹ Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA 6009, Australia.
² ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA 6009, Australia.
³ Centre for Medical Research, The University of Western Australia, QEII Medical Centre, Nedlands, WA 6009, Australia.
⁴ Umea University, Department of Computing Science, 901 87 Umea, Sweden.
⁵ Edith Cowan University, School of Science, AI and Optimization Research Group, Joondalup, WA 6027, Australia.
⁶ School of Pharmacy and Biomedical Sciences, Curtin University, Bentley, WA 6102, Australia.
⁷ Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia.
⁸ Telethon Kids Institute, Perth Children's Hospital, Northern Entrance, 15 Hospital Avenue, Nedlands, WA 6009, Australia.
⁹ School of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.

Abstract

Advances in omics technologies have generated exponentially larger volumes of biological data; however, their analyses and interpretation are limited to computationally proficient scientists. We created OmicsVolcano, an interactive open-source software tool to enable visualization and exploration of high-throughput biological data, while highlighting features of interest using a volcano plot interface. In contrast to existing tools, our software and user-interface design allow it to be used without requiring any programming skills to generate high-quality and presentation-ready images.

Keywords: Bioinformatics; Genomics; Proteomics; RNA-seq.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology*
Gene Expression Profiling*
Genomics*
User-Computer Interface*