Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis

Wei Xing; Jon Smith; Mike Gavrielides; Steve Hindmarsh; Adam Huffman; Hai H. Wang

doi:10.1109/ICAIBD.2019.8836977

Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis

Wei Xing
, Jon Smith
, Mike Gavrielides
, Steve Hindmarsh
, Adam Huffman
, Hai H. Wang

Research output: Chapter in Book/Published conference output › Conference publication

50 Citations (Scopus)

Abstract

To make valuable omics data useful is becoming more urgent in medical research. The need to provide information on what and how data can be useful for a particular research question has presented significant challenges in big data management and analysis. This paper describes a new open data architecture and its architectural components. It also introduces the Nautilus platform following the architecture design. We evaluate the performance of data management with the Nautilus platform and demonstrate that applying smart technologies improves the performance to cost tradeoff achieved in an experimental environment.

Original language	English
Title of host publication	2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Electronic)	978-1-7281-0831-5
ISBN (Print)	978-1-7281-0829-2
DOIs	https://doi.org/10.1109/ICAIBD.2019.8836977
Publication status	Published - 16 Sept 2019
Event	2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019 - Chengdu, China Duration: 25 May 2019 → 28 May 2019

Publication series

Name	2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019

Conference

Conference	2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019
Country/Territory	China
City	Chengdu
Period	25/05/19 → 28/05/19

Bibliographical note

Funding: Microsoft Research Azure Cloud and UK RSE Association.

Funding

ACKNOWLEDGMENT This work is partly supported by Microsoft Research Azure Cloud and UK RSE Association. Special thanks go to: Kenji Takeda (Microsoft Research Azure Cloud), Simon Hettrick (UK RSE), Samra Turajlic and Charles Swanton (Crick Translational Cancer Therapeutics Laboratory), Andreas Schaefer and Carlos Bosch (Crick Neurophysiology of Behaviour Laboratory), David Perkins and Bram Snijders (Crick proteomics STP). Authors also thank Crick SciCom STP Team (Michael Holliday, Miguel Oliveira, Amy Strange, Bruno Silva, Karen Ambrose) for useful discussion on Nautilus design.

Keywords

AI
big omics data
bio-medical research

Access to Document

10.1109/ICAIBD.2019.8836977

Cite this

Xing, W., Smith, J., Gavrielides, M., Hindmarsh, S., Huffman, A., & Wang, H. H. (2019). Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis. In 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 1-8). Article 8836977 (2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019). IEEE. https://doi.org/10.1109/ICAIBD.2019.8836977

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title = "Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis",

abstract = "To make valuable omics data useful is becoming more urgent in medical research. The need to provide information on what and how data can be useful for a particular research question has presented significant challenges in big data management and analysis. This paper describes a new open data architecture and its architectural components. It also introduces the Nautilus platform following the architecture design. We evaluate the performance of data management with the Nautilus platform and demonstrate that applying smart technologies improves the performance to cost tradeoff achieved in an experimental environment.",

keywords = "AI, big omics data, bio-medical research",

author = "Wei Xing and Jon Smith and Mike Gavrielides and Steve Hindmarsh and Adam Huffman and Wang, \{Hai H.\}",

note = "Funding: Microsoft Research Azure Cloud and UK RSE Association.; 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019 ; Conference date: 25-05-2019 Through 28-05-2019",

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doi = "10.1109/ICAIBD.2019.8836977",

language = "English",

isbn = "978-1-7281-0829-2",

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Xing, W, Smith, J, Gavrielides, M, Hindmarsh, S, Huffman, A & Wang, HH 2019, Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis. in 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)., 8836977, 2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019, IEEE, pp. 1-8, 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019, Chengdu, China, 25/05/19. https://doi.org/10.1109/ICAIBD.2019.8836977

Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis. / Xing, Wei; Smith, Jon; Gavrielides, Mike et al.
2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE, 2019. p. 1-8 8836977 (2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis

AU - Xing, Wei

AU - Smith, Jon

AU - Gavrielides, Mike

AU - Hindmarsh, Steve

AU - Huffman, Adam

AU - Wang, Hai H.

N1 - Funding: Microsoft Research Azure Cloud and UK RSE Association.

PY - 2019/9/16

Y1 - 2019/9/16

N2 - To make valuable omics data useful is becoming more urgent in medical research. The need to provide information on what and how data can be useful for a particular research question has presented significant challenges in big data management and analysis. This paper describes a new open data architecture and its architectural components. It also introduces the Nautilus platform following the architecture design. We evaluate the performance of data management with the Nautilus platform and demonstrate that applying smart technologies improves the performance to cost tradeoff achieved in an experimental environment.

AB - To make valuable omics data useful is becoming more urgent in medical research. The need to provide information on what and how data can be useful for a particular research question has presented significant challenges in big data management and analysis. This paper describes a new open data architecture and its architectural components. It also introduces the Nautilus platform following the architecture design. We evaluate the performance of data management with the Nautilus platform and demonstrate that applying smart technologies improves the performance to cost tradeoff achieved in an experimental environment.

KW - AI

KW - big omics data

KW - bio-medical research

UR - https://www.scopus.com/pages/publications/85073222480

UR - https://ieeexplore.ieee.org/document/8836977

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BT - 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)

PB - IEEE

T2 - 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019

Y2 - 25 May 2019 through 28 May 2019

ER -

Xing W, Smith J, Gavrielides M, Hindmarsh S, Huffman A, Wang HH. Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis. In 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD). IEEE. 2019. p. 1-8. 8836977. (2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019). doi: 10.1109/ICAIBD.2019.8836977

Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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