Data Linkage Graph: computation, querying and knowledge discovery of life science database networks

Data Linkage Graph: computation, querying and knowledge discovery of life science database networks

To support the interpretation of measured molecular facts, like gene expression experiments or EST sequencing, the functional or the system biological context has to be considered. Doing so, the relationship to existing biological knowledge has to be discovered. In general, biological knowledge is w...

Full description

Bibliographic Details
Main Authors: Lange Matthias, Himmelbach Axel, Schweizer Patrick, Scholz Uwe
Format: Article
Language:English
Published: De Gruyter 2007-12-01
Series:Journal of Integrative Bioinformatics
Online Access:https://doi.org/10.1515/jib-2007-68
id doaj-3e2a0a091b9d4f6c9b4656dabf6e5021
record_format Article
spelling doaj-3e2a0a091b9d4f6c9b4656dabf6e50212021-09-06T19:40:30ZengDe GruyterJournal of Integrative Bioinformatics1613-45162007-12-014310111110.1515/jib-2007-68biecoll-jib-2007-68Data Linkage Graph: computation, querying and knowledge discovery of life science database networksLange Matthias0Himmelbach Axel1Schweizer Patrick2Scholz Uwe3Institute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, GermanyInstitute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, GermanyInstitute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, GermanyInstitute for Plant Genetics and Crop Plant Research (IPK) Gatersleben, GermanyTo support the interpretation of measured molecular facts, like gene expression experiments or EST sequencing, the functional or the system biological context has to be considered. Doing so, the relationship to existing biological knowledge has to be discovered. In general, biological knowledge is worldwide represented in a network of databases. In this paper we present a method for knowledge extraction in life science databases, which prevents the scientists from screen scraping and web clicking approaches.https://doi.org/10.1515/jib-2007-68
collection DOAJ
language English
format Article
sources DOAJ
author Lange Matthias
Himmelbach Axel
Schweizer Patrick
Scholz Uwe
spellingShingle Lange Matthias
Himmelbach Axel
Schweizer Patrick
Scholz Uwe
Data Linkage Graph: computation, querying and knowledge discovery of life science database networks
Journal of Integrative Bioinformatics
author_facet Lange Matthias
Himmelbach Axel
Schweizer Patrick
Scholz Uwe
author_sort Lange Matthias
title Data Linkage Graph: computation, querying and knowledge discovery of life science database networks
title_short Data Linkage Graph: computation, querying and knowledge discovery of life science database networks
title_full Data Linkage Graph: computation, querying and knowledge discovery of life science database networks
title_fullStr Data Linkage Graph: computation, querying and knowledge discovery of life science database networks
title_full_unstemmed Data Linkage Graph: computation, querying and knowledge discovery of life science database networks
title_sort data linkage graph: computation, querying and knowledge discovery of life science database networks
publisher De Gruyter
series Journal of Integrative Bioinformatics
issn 1613-4516
publishDate 2007-12-01
description To support the interpretation of measured molecular facts, like gene expression experiments or EST sequencing, the functional or the system biological context has to be considered. Doing so, the relationship to existing biological knowledge has to be discovered. In general, biological knowledge is worldwide represented in a network of databases. In this paper we present a method for knowledge extraction in life science databases, which prevents the scientists from screen scraping and web clicking approaches.
url https://doi.org/10.1515/jib-2007-68
work_keys_str_mv AT langematthias datalinkagegraphcomputationqueryingandknowledgediscoveryoflifesciencedatabasenetworks
AT himmelbachaxel datalinkagegraphcomputationqueryingandknowledgediscoveryoflifesciencedatabasenetworks
AT schweizerpatrick datalinkagegraphcomputationqueryingandknowledgediscoveryoflifesciencedatabasenetworks
AT scholzuwe datalinkagegraphcomputationqueryingandknowledgediscoveryoflifesciencedatabasenetworks
_version_ 1717768343136501760

Similar Items