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ChemDoodle Web Components (abbreviated CWC, iChemLabs, LLC) is a light-weight (~340 KB) JavaScript/HTML5 toolkit for chemical graphics, structure editing, interfaces, and informatics based on the proprietary ChemDoodle desktop software.
In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed.
Comparisons between the values derived from measured data and those predicted using the two available IRI-2001 methods (IRI tables and Gulyaeva, T. Progress in ionospheric informatics based on electron density profile analysis of ionograms. Adv. Space Res. 7 6), 39 48 , 1987.
Bilitza [Bilitza, D. International Reference Ionosphere 2000. Radio Sci. 36 (261 275–2001 2001] using both the options namely: Gulyaeva's model [Gulyaeva, T.L. Progress in ionospheric informatics based on electron density profile analysis of ionograms. Adv. Space Res. 7 (6) 39 48 , 1987 and B0 Tab.
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This general informatics framework, based on an advanced ICT infrastructure, will provide the basis for empowering P4 medicine.
We are now developing an informatics resource based on the BBRAF clones that will function as a bridge between information for the model plant Arabidopsis and Brassica research.
We concede that we cannot deploy a reliable public health informatics system based on grid technologies today; however, by using the highly modular characteristics of grid architectures and the principle of the "ecosystem" of grid components, we will be able to make significant progress in the near future.
Curricula about PHRs need to be developed in the context of medical informatics courses, based on suggestions about EHR education [ 39], and should exist within every single level of their education (medical schools, internships, residencies, fellowships, and in services), if possible [ 40].
The gene list for negative data sets was selected from mouse genomic informatics (MGI) database based on the criterion that mutations in mice do not result in either immune or hematopoietic system phenotypes.
In this paper, we applied an informatics method [ 13], which is based on Shannon informatics theory and the entropy theory, to explore the relationship between GC composition and synonymous codon usage bias among 70 bacterial and 16 archaeal genomes.
For the quantitative assessment of the chosen materials, predictive models based on informatics were built by correlating a set of key parameters which reflect the features of the host materials with the performance of inorganic scintillators.
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