SetupX--a public study design database for metabolomic projects.

SetupX--a public study design database for metabolomic projects. Research Abstract Details 

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SetupX--a public study design database for metabolomic projects. Abstract Text:

Martin Scholz,Oliver Fiehn,Martin Scholz,Oliver Fiehn,

Metabolomic databases are useless without accurate description of the biological study design and accompanying metadata reporting on the laboratory workflow from sample preparation to data processing. Here we report on the implementation of a database system that enables investigators to detail and set up a biological experiment, and that also steers laboratory workflows by direct access to the data acquisition instrument. SetupX utilizes orthogonal biological parameters such as genotype, organ, and treatment(s) for delineating the dimensions of a study which define the number of classes under investigation. Publicly available taxonomic and ontology repositories are utilized to ensure data integrity and logic consistency of class designs. Class descriptions are subsequently employed to schedule and randomize data acquisitions, and to deploy metabolite annotations carried out by the seamlessly integrated mass spectrometry database, BinBase. Annotated result data files are housed by SetupX for downloads and queries. Currently, 39 users have generated 48 studies, some of which are made public.

SetupX--a public study design database for metabolomic projects. Publishing Authors By Initials

M Scholz,O Fiehn,M Scholz,O Fiehn,

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SetupX--a public study design database for metabolomic projects. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Pacific Symposium on Biocomputing. Pacific Symposi

VOLUME:

Page Numbers: 169-80

Journal Abbreviation:

ISSN: 1793-5091

DAY: 9

MONTH: 11

YEAR: 2007

SetupX--a public study design database for metabolomic projects. Information

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LANGUAGE: eng

NlmUniqueID: 9711271

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Grant and Affiliation Information for SetupX--a public study design database for metabolomic projects.

AFFILIATION: University of California, Davis. Genome Center 451 E. Health Sci. Drive Davis, California 95616, USA.

Country: Singapore

AGENCY: United States NIEHS

GRANT: R01 ES013932

ACRONYM: ES

MEDLINETA: Pac Symp Biocomput

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