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The National Institute of Standards and Technology NISTT) Database for the Simulation of Electron Spectra for Surface Analysis (SESSA) is a unique tool for interpretation of experimental data for nanostructured surfaces as well as for experimental design with photoelectron energies between 50 eV and 30 keV.
This study also demonstrates the usefulness of multivariate statistical analysis in groundwater study as a supplementary tool for interpretation of complex hydrochemical data sets.
The proposed diffusion model can be used as a visual enhancement tool for interpretation as well as a preprocessing task for further diagnosis.
In contrast to this, we have advocated to use the simulation algorithm itself as an operational tool for interpretation.
Docking of known or related atomic structures of components into the EM map of an assembly is the main tool for interpretation.
To identify the pathways involved in biological response at approximate EC50 levels, two analytical approaches were used, each utilisng gene ontology as a tool for interpretation of expression change.
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Finally, the use of open source software tools for interpretation of these datasets will be discussed.
GC programmed analytical tools for interpretation of ChIP-chip and aided the analysis of sequence data.
Therefore, tools are needed that encourage collaborative exchange and thereby enable the development of new and better tools for interpretation of expression data.
There is a critical need for the creation of a new generation of tools for interpretation of the numerous epigenetic datasets [ 81].
Although there are no standard GO enrichment analyses established for the cotton transcriptome, GO enrichment analyses in other plants are useful and powerful tools for interpretation of the cotton transcriptome data [ 8, 31, 32].
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