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Advanced querying interface for biochemical network databases

Published: 22 March 2010 Publication History

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.

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PathCase. (2009.a). PathCase System available at http://nashua.case.edu/pathways.
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PathCase. (2009.b). PathCase Built-in Queries available at http://nashua.case.edu/PathwaysKegg/Web/LinkForwarder.aspx?rid=SimpleQueries&rtype=br
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Mayes, S. (2007) Advanced Interface for Querying Graph Data. Master's thesis, Case Western Reserve University, EECS Dept., Cleveland, Ohio, USA.

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cover image ACM Conferences
SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing
March 2010
2712 pages
ISBN:9781605586397
DOI:10.1145/1774088
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 22 March 2010

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SAC'10: The 2010 ACM Symposium on Applied Computing
March 22 - 26, 2010
Sierre, Switzerland

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SAC '10 Paper Acceptance Rate 364 of 1,353 submissions, 27%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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