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

Irina Kuznetsova, Artur Lugmayr, Oliver Rackham, Aleksandra Filipovska

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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.

Original language	English
Article number	100279
Journal	STAR Protocols
Volume	2
Issue number	1
DOIs	https://doi.org/10.1016/j.xpro.2020.100279
Publication status	Published - 19 Mar 2021

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10.1016/j.xpro.2020.100279Licence: CC BY-NC-ND

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@article{c38dca4a95474b158528f3b00e1dec34,

title = "OmicsVolcano: Software for intuitive visualization and interactive exploration of high-throughput biological data",

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",

author = "Irina Kuznetsova and Artur Lugmayr and Oliver Rackham and Aleksandra Filipovska",

note = "Funding Information: This project was supported by fellowships and project grants from the National Health and Medical Research Council ( APP1058442 , APP1045677 , APP1041582 , APP1023460 , APP1005030 , APP1043978 to A.F. and O.R.), the Australian Research Council ( DP180101656 to A.F. and O.R.), and the Cancer Council of Western Australia (to A.F. and O.R.). I.K. is supported by a UWA Postgraduate Scholarship. The funders had no role in the design of the study, collection, analysis, and interpretation of data or in the preparation of the manuscript. We thank members of the Filipovska and Rackham laboratories for testing the software and providing valuable advice. Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2021",

month = mar,

day = "19",

doi = "10.1016/j.xpro.2020.100279",

language = "English",

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T1 - OmicsVolcano

T2 - Software for intuitive visualization and interactive exploration of high-throughput biological data

AU - Kuznetsova, Irina

AU - Lugmayr, Artur

AU - Rackham, Oliver

AU - Filipovska, Aleksandra

N1 - Funding Information: This project was supported by fellowships and project grants from the National Health and Medical Research Council ( APP1058442 , APP1045677 , APP1041582 , APP1023460 , APP1005030 , APP1043978 to A.F. and O.R.), the Australian Research Council ( DP180101656 to A.F. and O.R.), and the Cancer Council of Western Australia (to A.F. and O.R.). I.K. is supported by a UWA Postgraduate Scholarship. The funders had no role in the design of the study, collection, analysis, and interpretation of data or in the preparation of the manuscript. We thank members of the Filipovska and Rackham laboratories for testing the software and providing valuable advice. Publisher Copyright: © 2020 The Author(s)

PY - 2021/3/19

Y1 - 2021/3/19

N2 - 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.

AB - 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.

KW - Bioinformatics

KW - Genomics

KW - Proteomics

KW - RNA-seq

UR - https://www.scopus.com/pages/publications/85107354516

U2 - 10.1016/j.xpro.2020.100279

DO - 10.1016/j.xpro.2020.100279

M3 - Article

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AN - SCOPUS:85107354516

SN - 2666-1667

VL - 2

JO - STAR Protocols

JF - STAR Protocols

IS - 1

M1 - 100279

ER -

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

Abstract

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NHMRC Research Fellowships - Aleksandra Filipovska

Optimising Efficacy of a Peptide Derived Against the Alpha-Interacting Domain of the L-type Calcium Channel in Reduction of Ischemia-Reperfusion Injury

Enginered Proteins as Treatments for Mitochondrial Disease

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

Abstract

Access to Document

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Projects

NHMRC Research Fellowships - Aleksandra Filipovska

Optimising Efficacy of a Peptide Derived Against the Alpha-Interacting Domain of the L-type Calcium Channel in Reduction of Ischemia-Reperfusion Injury

Enginered Proteins as Treatments for Mitochondrial Disease

Cite this