Titlebook: Data Integration in the Life Sciences; 6th International Wo Norman W. Paton,Paolo Missier,Cornelia Hedeler Conference proceedings 2009 Spri

美麗動人

書目名稱Data Integration in the Life Sciences影響因子(影響力)




書目名稱Data Integration in the Life Sciences影響因子(影響力)學科排名




書目名稱Data Integration in the Life Sciences網絡公開度




書目名稱Data Integration in the Life Sciences網絡公開度學科排名




書目名稱Data Integration in the Life Sciences被引頻次




書目名稱Data Integration in the Life Sciences被引頻次學科排名




書目名稱Data Integration in the Life Sciences年度引用




書目名稱Data Integration in the Life Sciences年度引用學科排名




書目名稱Data Integration in the Life Sciences讀者反饋




書目名稱Data Integration in the Life Sciences讀者反饋學科排名

繁榮地區(qū)

OpenFlyData: The Way to Go for Biological Data Integrations OpenFlyData (.), a simple user-led service providing . researchers with integrated access to distributed information. This is an exemplar lightweight solution to the problems of data integration, in which accurate and explicit data modelling enables high precision information retrieval.

Simulate

Hla461

Dimiter R. Avresky,Michel Diaz,Eliezer Dekelvenance) as well as the evolution of ontologies, object sources, and annotations. Thus, it facilitates the identification of reliable annotations, e.g., for use in analysis applications. We evaluate our approach for functional protein annotations in Ensembl and Swiss-Prot using the Gene Ontology.

cinder

Interim

https://doi.org/10.1007/978-1-4842-6921-3e effectiveness of our system by considering a number of queries involving SNP datasets. We show that most of the queries can be accelerated significantly by exploiting these three forms of parallelism.

Interim

Estimating the Quality of Ontology-Based Annotations by Considering Evolutionary Changesvenance) as well as the evolution of ontologies, object sources, and annotations. Thus, it facilitates the identification of reliable annotations, e.g., for use in analysis applications. We evaluate our approach for functional protein annotations in Ensembl and Swiss-Prot using the Gene Ontology.

Amplify

Slicing through the Scientific Literatureies in response to keyword input from the user. Queries are presented in natural language, translated to formal query syntax and issued to a knowledge base of scientific literature, documents or aligned document segments. We describe the components of the system and exemplify using real-world examples.

florid

enlist

https://doi.org/10.1007/978-3-642-18436-9sult presented in this paper is a quantitative evaluation of their performance in two different situations: the integration and analysis of different metabolic pathways resources and the mapping of equivalent elements between the Gene Ontology and a nomenclature describing enzyme function.