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Prathyusha Aragonda

dblp:65/7518 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed and cloud data management › mapreduce
hybrid SQL-MapReduce system
0.112011
Tenzing A SQL Implementation On The MapReduce Framework · Proc. VLDB Endow. 2011
High-performance computing › data-intensive computing
large-scale data processing
0.012011
Tenzing A SQL Implementation On The MapReduce Framework · Proc. VLDB Endow. 2011

Methods — techniques the papers use, named apart from their topics

mapreduce · 0.2
YearPublicationVenuePosition
2011 Tenzing A SQL Implementation On The MapReduce Framework
Biswapesh Chattopadhyay, Sagar Mittal, Prathyusha Aragonda, Vera Lychagina, Younghee Kwon
Proc. VLDB Endow.5
2006 The bovine QTL viewer: a web accessible database of bovine Quantitative Trait Loci
abstract
BACKGROUND: Many important agricultural traits such as weight gain, milk fat content and intramuscular fat (marbling) in cattle are quantitative traits. Most of the information on these traits has not previously been integrated into a genomic context. Without such integration application of these data to agricultural enterprises will remain slow and inefficient. Our goal was to populate a genomic database with data mined from the bovine quantitative trait literature and to make these data available in a genomic context to researchers via a user friendly query interface. DESCRIPTION: The QTL (Quantitative Trait Locus) data and related information for bovine QTL are gathered from published work and from existing databases. An integrated database schema was designed and the database (MySQL) populated with the gathered data. The bovine QTL Viewer was developed for the integration of QTL data available for cattle. The tool consists of an integrated database of bovine QTL and the QTL viewer to display QTL and their chromosomal position. CONCLUSION: We present a web accessible, integrated database of bovine (dairy and beef cattle) QTL for use by animal geneticists. The viewer and database are of general applicability to any livestock species for which there are public QTL data. The viewer can be accessed at http://bovineqtl.tamu.edu.
Pavana Polineni, Prathyusha Aragonda, Suresh R. Xavier, Richard Furuta, David L. Adelson
BMC Bioinform.2