A summary of methods and toolkits with their applications is presented in Table 2. Big data analytics which leverages legions of disparate, structured, and unstructured data sources is going to play a vital role in how healthcare is practiced in the future.
Details about the methods, recommendations, and toolkit developed by the GLAD-PC collaborative were published in Pediatrics in 2007 [ 12, 13] and at www.gladpc.org.
These methods constitute a toolkit for understanding MCC in the human respiratory system, and can potentially provide new data about mucus thickness, depth-resolved flow, and ciliary activity, even in airways with thick mucus.
Underlying these specific advances is a large-scale transformation, as cancer research incorporates evolutionary methods into its toolkit, and asks new evolutionary questions about why we are vulnerable to cancer.
We present a general method and a toolkit for designing, implementing and visualizing distributed algorithms.
Observing social interactions between children and adults is a major method in the toolkit of psychologists who examine social development and social relationships.
The genome-wide scan for selection is a powerful method in the toolkit of the evolutionary biologist.
For the MTM, only the MTM spectrum is presented, but it should be noted that the Singular Spectrum Analysis - MultiTaper Method (SSA-MTM) toolkit provides additional features such as significance levels of the frequencies, relative to the estimated noise levels [ 42].
To determine the sensitivity of HPVDetector, we downsampled the SiHa genome using a 'downsampling' method, a Picard Toolkit's DownsampleSam function (http://broadinstitute.github.io/picard/) (Meynert et al, 2014) to generate varying coverage of the SiHa whole-genome data ranging from 1 × to 30 × coverage, and analysed using HPVDetector.
