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OmicsVolcano : Software for intuitive visualization and interactive exploration of high-throughput biological data
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- Kuznetsova, Irina (author)
- Harry Perkins Institute of Medical Research, QEII Medical Centre, WA, Nedlands, Australia; ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, WA, Nedlands, Australia; Centre for Medical Research, The University of Western Australia, QEII Medical Centre, WA, Nedlands, Australia
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- Lugmayr, Artur (author)
- Umeå universitet,Institutionen för datavetenskap,Edith Cowan University, School of Science, AI and Optimization Research Group, WA, Joondalup, Australia
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- Rackham, Oliver (author)
- Harry Perkins Institute of Medical Research, QEII Medical Centre, WA, Nedlands, Australia; ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, WA, Nedlands, Australia; School of Pharmacy and Biomedical Sciences, Curtin University, WA, Bentley, Australia; Curtin Health Innovation Research Institute, Curtin University, WA, Bentley, Australia; Telethon Kids Institute, Perth Children's Hospital, Northern Entrance, 15 Hospital Avenue, WA, Nedlands, Australia
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- (creator_code:org_t)
- Elsevier, 2021
- 2021
- English.
- In: STAR Protocols. - : Elsevier. - 2666-1667. ; 2:1
- Journal article (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Bioinformatics
- Genomics
- Proteomics
- RNA-seq
Publication and Content Type
- ref (subject category)
- art (subject category)
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