Advanced querying interface for biochemical network databases

Brendan Elliott*, Stephen Mayes, Ali Cakmak, Gultekin Ozsoyoglu, Z. Meral Ozsoyoglu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Querying biochemical networks in flexible ways over the web is important to facilitate ongoing biological research. In this paper, we present a querying interface for biological networks, more specifically, metabolic networks. The interface allows for the specification of a large class of containment, path, and neighborhood queries with ease from a web browser. The query specification process is user-friendly, employs hierarchically arranged relationships among biological entities, and uses autocomplete features. The interface is provided as part of PathCase, a system to store, query, visualize and analyze metabolic pathways at different levels of detail.

Original languageEnglish
Title of host publicationAPPLIED COMPUTING 2010 - The 25th Annual ACM Symposium on Applied Computing
Pages1526-1533
Number of pages8
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event25th Annual ACM Symposium on Applied Computing, SAC 2010 - Sierre, Switzerland
Duration: 22 Mar 201026 Mar 2010

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference25th Annual ACM Symposium on Applied Computing, SAC 2010
Country/TerritorySwitzerland
CitySierre
Period22/03/1026/03/10

Keywords

  • H.2.8 [Database applications]: Scientific Databases - query language, visualization, biological networks

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