@inproceedings{a52cbd785e57488bab8359505263cd85,
title = "Data like this: Ranked search of genomic data vision paper",
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.",
keywords = "Data exploration, Genome search, Ranked data search, Scientific data",
author = "Megler, {V. M.} and David Maier and Daniel Bottomly and Libbey White and Shannon McWeeney and Beth Wilmot",
year = "2015",
month = may,
day = "31",
doi = "10.1145/2795218.2795221",
language = "English (US)",
series = "2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings",
publisher = "Association for Computing Machinery, Inc",
pages = "3--5",
editor = "Georgia Koutrika and Mirek Riedewald and Lakshmanan, {Laks V. S.} and Kostas Stefanidis",
booktitle = "2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings",
note = "2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 ; Conference date: 31-05-2015",
}