Immersive intelligence genomic data visualisation

Chng Wei Lau; Quang Vinh Nguyen; Zhonglin Qu; Simeon Simoff; Daniel Catchpoole

doi:10.1145/3290688.3290722

Immersive intelligence genomic data visualisation

Chng Wei Lau
, Quang Vinh Nguyen
, Zhonglin Qu
, Simeon Simoff
, Daniel Catchpoole

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

6 Citations (Scopus)

Abstract

Genomics data are very complex and could contain crucial information about a disease or how a treatment method may perform well on one but not on another. Understanding such genomic data would enable better insight into the correlation between genes and diseases, which could facilitate personalised treatments for the patients. Although visualisations have been increasingly used in the genomic analysis, there is still limited research work on interactive visualisations on immersive platforms, such as in Augmented and Virtual Reality. This paper presents a new interactive visualisation and navigation of genomics data in such environments. We provide an overview of the patient cohort in 3D genetic similarity-space as well as the views of the genes of interests for detail study. The visualisation employs avatars to represent the patients to enhance the realistic look-and-feel of the patients in the immersive environments. We illustrate the effectiveness of our platform through a childhood cancer dataset, B-cell Acute Lymphoblastic Leukaemia.

Original language	English
Title of host publication	Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Macquarie University, Sydney, Australia
Publisher	Association for Computing Machinery
Number of pages	10
ISBN (Electronic)	9781450366038
ISBN (Print)	9781450366038
DOIs	https://doi.org/10.1145/3290688.3290722
Publication status	Published - 2019
Event	Australasian Conference on Health Informatics and Knowledge Management - Duration: 29 Jan 2019 → …

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	Australasian Conference on Health Informatics and Knowledge Management
Period	29/01/19 → …

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

data processing
genomes
three-dimensional imaging
virtual reality
visualization

Access to Document

10.1145/3290688.3290722

Cite this

Lau, C. W., Nguyen, Q. V., Qu, Z., Simoff, S., & Catchpoole, D. (2019). Immersive intelligence genomic data visualisation. In Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Macquarie University, Sydney, Australia Article a18 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3290688.3290722

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title = "Immersive intelligence genomic data visualisation",

abstract = "Genomics data are very complex and could contain crucial information about a disease or how a treatment method may perform well on one but not on another. Understanding such genomic data would enable better insight into the correlation between genes and diseases, which could facilitate personalised treatments for the patients. Although visualisations have been increasingly used in the genomic analysis, there is still limited research work on interactive visualisations on immersive platforms, such as in Augmented and Virtual Reality. This paper presents a new interactive visualisation and navigation of genomics data in such environments. We provide an overview of the patient cohort in 3D genetic similarity-space as well as the views of the genes of interests for detail study. The visualisation employs avatars to represent the patients to enhance the realistic look-and-feel of the patients in the immersive environments. We illustrate the effectiveness of our platform through a childhood cancer dataset, B-cell Acute Lymphoblastic Leukaemia.",

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author = "Lau, \{Chng Wei\} and Nguyen, \{Quang Vinh\} and Zhonglin Qu and Simeon Simoff and Daniel Catchpoole",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; Australasian Conference on Health Informatics and Knowledge Management ; Conference date: 29-01-2019",

year = "2019",

doi = "10.1145/3290688.3290722",

language = "English",

isbn = "9781450366038",

series = "ACM International Conference Proceeding Series",

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Lau, CW, Nguyen, QV , Qu, Z , Simoff, S & Catchpoole, D 2019, Immersive intelligence genomic data visualisation. in Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Macquarie University, Sydney, Australia., a18, ACM International Conference Proceeding Series, Association for Computing Machinery, Australasian Conference on Health Informatics and Knowledge Management, 29/01/19. https://doi.org/10.1145/3290688.3290722

Immersive intelligence genomic data visualisation. / Lau, Chng Wei; Nguyen, Quang Vinh ; Qu, Zhonglin et al.
Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Macquarie University, Sydney, Australia. Association for Computing Machinery, 2019. a18 (ACM International Conference Proceeding Series).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Immersive intelligence genomic data visualisation

AU - Lau, Chng Wei

AU - Nguyen, Quang Vinh

AU - Qu, Zhonglin

AU - Simoff, Simeon

AU - Catchpoole, Daniel

PY - 2019

Y1 - 2019

N2 - Genomics data are very complex and could contain crucial information about a disease or how a treatment method may perform well on one but not on another. Understanding such genomic data would enable better insight into the correlation between genes and diseases, which could facilitate personalised treatments for the patients. Although visualisations have been increasingly used in the genomic analysis, there is still limited research work on interactive visualisations on immersive platforms, such as in Augmented and Virtual Reality. This paper presents a new interactive visualisation and navigation of genomics data in such environments. We provide an overview of the patient cohort in 3D genetic similarity-space as well as the views of the genes of interests for detail study. The visualisation employs avatars to represent the patients to enhance the realistic look-and-feel of the patients in the immersive environments. We illustrate the effectiveness of our platform through a childhood cancer dataset, B-cell Acute Lymphoblastic Leukaemia.

AB - Genomics data are very complex and could contain crucial information about a disease or how a treatment method may perform well on one but not on another. Understanding such genomic data would enable better insight into the correlation between genes and diseases, which could facilitate personalised treatments for the patients. Although visualisations have been increasingly used in the genomic analysis, there is still limited research work on interactive visualisations on immersive platforms, such as in Augmented and Virtual Reality. This paper presents a new interactive visualisation and navigation of genomics data in such environments. We provide an overview of the patient cohort in 3D genetic similarity-space as well as the views of the genes of interests for detail study. The visualisation employs avatars to represent the patients to enhance the realistic look-and-feel of the patients in the immersive environments. We illustrate the effectiveness of our platform through a childhood cancer dataset, B-cell Acute Lymphoblastic Leukaemia.

KW - data processing

KW - genomes

KW - three-dimensional imaging

KW - virtual reality

KW - visualization

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:49803

U2 - 10.1145/3290688.3290722

DO - 10.1145/3290688.3290722

M3 - Conference Paper

SN - 9781450366038

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Macquarie University, Sydney, Australia

PB - Association for Computing Machinery

T2 - Australasian Conference on Health Informatics and Knowledge Management

Y2 - 29 January 2019

ER -

Lau CW, Nguyen QV , Qu Z , Simoff S, Catchpoole D. Immersive intelligence genomic data visualisation. In Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Macquarie University, Sydney, Australia. Association for Computing Machinery. 2019. a18. (ACM International Conference Proceeding Series). doi: 10.1145/3290688.3290722

Immersive intelligence genomic data visualisation

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this