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/Report/Conference proceedingConference publication

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 languageEnglish
Title of host publication2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)978-1-7281-0831-5
ISBN (Print)978-1-7281-0829-2
DOIs
Publication statusPublished - 16 Sep 2019
Event2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019 - Chengdu, China
Duration: 25 May 201928 May 2019

Publication series

Name2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019

Conference

Conference2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019
CountryChina
CityChengdu
Period25/05/1928/05/19

Bibliographical note

Funding: Microsoft Research Azure Cloud and UK RSE Association.

Keywords

  • AI
  • big omics data
  • bio-medical research

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