Not an abstract:
The dbNP aims at being an extensive systems biology framework for nutrition research that in particular facilitates storage and retrieval of a range of relevant kinds of data such as preprocessed omics data, phenotype data, and study metadata. The biological information managed by the dbNP includes data from genetics, transcriptomics, proteomics, simple assay data, metabolomics, functional assays, food intake, and food composition and is tailored to the needs of nutrition research. The raw information and preprocessed data are embedded in an environment of standardized procedures and protocols, annotations, networking, and integrated bioinformatics.
%0 Journal Article
%1 nutritionalPhenolDB.2011
%A Evelo, Chris T.
%A van Bochove, Kees
%A Saito1, Jahn-Takeshi
%D 2011
%J Genes Nutr.
%K CAT CAT-NGX-database CAT-NGX-motivation
%N 1
%P 81-87
%T Answering biological questions: querying a systems biology database for nutrigenomics
%U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040802/?tool=pubmed#Sec2
%V 6
%X Not an abstract:
The dbNP aims at being an extensive systems biology framework for nutrition research that in particular facilitates storage and retrieval of a range of relevant kinds of data such as preprocessed omics data, phenotype data, and study metadata. The biological information managed by the dbNP includes data from genetics, transcriptomics, proteomics, simple assay data, metabolomics, functional assays, food intake, and food composition and is tailored to the needs of nutrition research. The raw information and preprocessed data are embedded in an environment of standardized procedures and protocols, annotations, networking, and integrated bioinformatics.
@article{nutritionalPhenolDB.2011,
abstract = {Not an abstract:
The dbNP aims at being an extensive systems biology framework for nutrition research that in particular facilitates storage and retrieval of a range of relevant kinds of data such as preprocessed omics data, phenotype data, and study metadata. The biological information managed by the dbNP includes data from genetics, transcriptomics, proteomics, simple assay data, metabolomics, functional assays, food intake, and food composition and is tailored to the needs of nutrition research. The raw information and preprocessed data are embedded in an environment of standardized procedures and protocols, annotations, networking, and integrated bioinformatics. },
added-at = {2011-12-12T05:53:41.000+0100},
author = {Evelo, Chris T. and van Bochove, Kees and Saito1, Jahn-Takeshi},
biburl = {https://www.bibsonomy.org/bibtex/249ed01a214c2efc6d6c79a05e3630095/huiyangsfsu},
interhash = {c4d4f245eb5d0d7ed61274c29115b3ee},
intrahash = {49ed01a214c2efc6d6c79a05e3630095},
journal = {Genes Nutr. },
keywords = {CAT CAT-NGX-database CAT-NGX-motivation},
number = 1,
pages = {81-87},
timestamp = {2011-12-12T19:46:27.000+0100},
title = {Answering biological questions: querying a systems biology database for nutrigenomics},
url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040802/?tool=pubmed#Sec2},
volume = 6,
year = 2011
}