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Our approach relies on performing controlled laboratory experiments and using a set of tools to visualize and analyze the relevant tool-specific traffic dynamics.
Strong collaboration will be needed between scientists, software engineers, clinicians and pharmacists in order to generate tools to visualize and interpret genomic variations.
Building on these resources and advancements has been the development of tools to visualize and analyze these data and, specifically, the entities that make up the complex, network-like structures of biological processes.
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We present the CheS-Mapper applicatool, a tool to visualize and explore chemical datasets.
Analysis of functional neuroimages (AFNI) package is another tool to visualize and statistically analyze fMRI datasets [13].
Fluorescence resonance energy transfer (FRET) has been proven to be a powerful tool to visualize and quantify the signaling cascades in live cells with high spatiotemporal resolutions.
ERG Web Analysis Tool (ERGWAT at http://ergsc.isee.nagoya-u.ac.jp/analysis/ergwat/) provides a web-based, interactive tool to visualize and analyze various kinds of scientific data from geospace spacecraft and ground-based observations.
Here we used footprint recordings as a tool to visualize and quantify age-related changes of walking.
Engineering fluorescent proteins into large genomic clones, contained within BACs or fosmid vectors, is a tool to visualize and study spatiotemporal gene expression patterns in transgenic animals.
It is not yet well established what is the most accurate tool to visualize and quantify microvascular damage.
Electrical impedance tomography (EIT) of the lung is a relatively new on-site tool to visualize and quantify intra-thoracic ventilation-dependent gas distribution [ 1].
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