Data like this: Ranked search of genomic data vision paper

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

doi:10.1145/2795218.2795221

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 proceeding › Conference 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 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	https://doi.org/10.1145/2795218.2795221
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

Access to Document

10.1145/2795218.2795221

Fingerprint Dive into the research topics of 'Data like this: Ranked search of genomic data vision paper'. Together they form a unique fingerprint.

Cite this

Data like this : Ranked search of genomic data vision paper. / Megler, V. M.; Maier, David; Bottomly, Daniel; White, Libbey; McWeeney, Shannon ; Wilmot, Beth.

2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings. Association for Computing Machinery, Inc, 2015. p. 3-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Megler, VM, 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. Association for Computing Machinery, Inc, pp. 3-5, 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015, Melbourne, Australia, 5/31/15. https://doi.org/10.1145/2795218.2795221

@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)",

pages = "3--5",

booktitle = "2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings",

publisher = "Association for Computing Machinery, Inc",

note = "2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 ; Conference date: 31-05-2015",

}

TY - GEN

T1 - Data like this

T2 - 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015

AU - Megler, V. M.

AU - Maier, David

AU - Bottomly, Daniel

AU - White, Libbey

AU - McWeeney, Shannon

AU - Wilmot, Beth

PY - 2015/5/31

Y1 - 2015/5/31

N2 - 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.

AB - 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.

KW - Data exploration

KW - Genome search

KW - Ranked data search

KW - Scientific data

UR - http://www.scopus.com/inward/record.url?scp=85009083935&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009083935&partnerID=8YFLogxK

U2 - 10.1145/2795218.2795221

DO - 10.1145/2795218.2795221

M3 - Conference contribution

AN - SCOPUS:85009083935

SP - 3

EP - 5

BT - 2nd International Workshop on Exploratory Search in Databases and the Web, Explore DB 2015 - Proceedings

PB - Association for Computing Machinery, Inc

Y2 - 31 May 2015

ER -