Demo Data from EDBT 2026 / reviewers in the wild / expert
Prathyusha Aragonda
dblp:65/7518
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management › mapreduce
hybrid SQL-MapReduce system |
0.1 | 1 | 2011 | Tenzing A SQL Implementation On The MapReduce Framework · Proc. VLDB Endow. 2011 |
High-performance computing › data-intensive computing
large-scale data processing |
0.0 | 1 | 2011 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 LociabstractBACKGROUND: 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 |