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 language | English (US) |
|---|---|
| Title of host publication | 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 3-5 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450337403 |
| DOIs | |
| State | Published - May 31 2015 |
| Event | 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Melbourne, Australia Duration: May 31 2015 → … |
Other
| Other | 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 |
|---|---|
| Country | Australia |
| City | Melbourne |
| Period | 5/31/15 → … |
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