Adaptive informatics for multifactorial and high-content biological data.
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ABSTRACT:
SUBMITTER: Millard BL
PROVIDER: S-EPMC3105758 | biostudies-literature | 2011 Jun
REPOSITORIES: biostudies-literature
Publications
Adaptive informatics for multifactorial and high-content biological data.
Millard Bjorn L BL Niepel Mario M Menden Michael P MP Muhlich Jeremy L JL Sorger Peter K PK
Nature methods 20110424 6
Whereas genomic data are universally machine-readable, data from imaging, multiplex biochemistry, flow cytometry and other cell- and tissue-based assays usually reside in loosely organized files of poorly documented provenance. This arises because the relational databases used in genomic research are difficult to adapt to rapidly evolving experimental designs, data formats and analytic algorithms. Here we describe an adaptive approach to managing experimental data based on semantically typed dat ...[more]
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