Sentence examples for consortium platforms from inspiring English sources

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The competition on consortium platforms is higher than on purely hierarchical systems but still lower than on marketplaces due to the entry restrictions [32].

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The reagents we used to construct and express ZFNs in our experiments are part of the OPEN Zinc Finger Consortium platform for engineering zinc finger arrays.

Although KHSRP was detected in our MS analysis, it did not show preferential binding to either wild type or mutant sequences (dataset PXD001463 on the ProteomeXchange Consortium platform [ 61]).

We describe the developmental phase of the Ontario Cohort Consortium, a platform for innovative, multidisciplinary cohort research in chronic disease prevention.

Since CCLE and CGP were generated by two different consortiums and platforms, the total numbers of genes and expression distributions are significantly different between these two data sets.

More in depth results are shown from a UK consortium advanced RF platform technology, which includes SOI SiGe HBTs.

The major 2D C H HSQC metabolomics databases, each with its own query algorithm, are the BMRB (Biological Magnetic Resonance Data Bank, HMDB Human Metabolome Databasese), MMCD (Madison Metabolomics Consortium Database), PRIMe (Platform for RIKEN Metabolomics) database, and the Metabominer database.

We are grateful to Drs. Inge Jonassen, Bjarte Dysvik, Kjell Petersen and others at the Norwegian Bioinformatics Platform and the Norwegian Microarray Consortium (national FUGE technology platforms, www.fuge.no).no

But Samsung is already a member of a consortium creating a new platform known as Tizen, and, perhaps as a warning to Google, its executives have suggested that the company has big plans for that operating system.

To support both singular and integrated systems biology approaches, the "-omics", or systems biology, movement has seen the development of multiple consortiums utilizing high throughput platforms to investigate complex phenotypes.

Among the available data are gene-expression datasets, generated by the ENCODE consortium using an Affymetrix platform (GeneChip Human Exon 1.0 ST Array), across various cell lines that can be classified as either oncogenic (tumor/cancer) or non-oncogenic (normal).

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