A knowledge base for computational pathway reconstruction

Peng Wang, Zhengchang Su, Phuongan Dam, Ying Xu

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

Abstract

The Synechococcus WH8102 knowledge base (http://www.csbl.bmb.uga.edu/ WH8102) is a web based relational database developed to facilitate computational effort to reconstruct regulatory pathways and serve as a gateway for biologist to access the data. It is the repertoire that integrates a variety of knowledge derived both from literature and computational prediction. Those data are organized in hierarchical fashion. The basic building blocks are functional annotation and structure prediction of individual molecule. Those data are then organized into clusters based on computationally predicted operon, regulon and molecular complexes. Finally all data are complied into pathways derived from combined efforts of literature mining and computational prediction. A number of tools have been developed to facilitate the data retrieval including a SQL query engineer and several viewers to browse genome, molecular complexes and pathways.

Original languageEnglish
Title of host publicationProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
Pages612-613
Number of pages2
StatePublished - 2004
Externally publishedYes
EventProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 - Stanford, CA, United States
Duration: 16 Aug 200419 Aug 2004

Publication series

NameProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

Conference

ConferenceProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
Country/TerritoryUnited States
CityStanford, CA
Period16/08/0419/08/04

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