Data like this: Ranked search of genomic data vision paper

V. M. Megler, David Maier, Daniel Bottomly, Libbey White, Shannon McWeeney, Beth Wilmot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

High-throughput genetic sequencing produces the ultimate "big data": a human genome sequence contains more than 3B base pairs, and more and more characteristics, or annotations, are being recorded at the base-pair level. Locating areas of interest within the genome is a challenge for researchers, limiting their investigations. We describe our vision of adapting "big data" ranked search to the problem of searching the genome. Our goal is to make searching for data as easy for scientists as searching the Internet.

Original languageEnglish (US)
Title of host publication2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings
PublisherAssociation for Computing Machinery, Inc
Pages3-5
Number of pages3
ISBN (Electronic)9781450337403
DOIs
StatePublished - May 31 2015
Event2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Melbourne, Australia
Duration: May 31 2015 → …

Other

Other2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015
CountryAustralia
CityMelbourne
Period5/31/15 → …

Keywords

  • Data exploration
  • Genome search
  • Ranked data search
  • Scientific data

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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  • Cite this

    Megler, V. M., Maier, D., Bottomly, D., White, L., McWeeney, S., & Wilmot, B. (2015). Data like this: Ranked search of genomic data vision paper. In 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings (pp. 3-5). Association for Computing Machinery, Inc. https://doi.org/10.1145/2795218.2795221