Flexible informatics for linking experimental data to mathematical models via DataRail

Motivation: Linking experimental data to mathematical models in biology is impeded by the lack of suitable software to manage and transform data. Model calibration would be facilitated and models would increase in value were it possible to preserve links to training data along with a record of all n...

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Veröffentlicht in:	Bioinformatics Jg. 24; H. 6; S. 840 - 847
Hauptverfasser:	Saez-Rodriguez, Julio, Goldsipe, Arthur, Muhlich, Jeremy, Alexopoulos, Leonidas G., Millard, Bjorn, Lauffenburger, Douglas A., Sorger, Peter K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 15.03.2008 Oxford Publishing Limited (England)
Schlagworte:	Algorithms Bioinformatics Biological and medical sciences Computational Biology - methods Computer Simulation Database Management Systems Databases, Protein Experimental data Fundamental and applied biological sciences. Psychology General aspects Information Storage and Retrieval - methods Mathematical models Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Biological Programming Languages Proteome - metabolism Research Design Software Mathematical model Bioinformatics Experimental data
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online-Zugang:	Volltext
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