Author: Chan, Joseph M.; Rabadan, Raul
Title: Quantifying Pathogen Surveillance Using Temporal Genomic Data Document date: 2013_1_29
ID: u2t1x89m_27
Snippet: Comparison to diversity metrics. Other alternative methods of gauging sampling bias may exist. For instance, there are many diversity metrics in ecology, including Chao's estimate of asymptotic species richness (41) , and in information theory, techniques like Shannon's entropy, which was applied in Fig. 1C . In particular, it is well known that the empirical Shannon entropy of a sample underestimates the entropy of the true distribution. Bootstr.....
Document: Comparison to diversity metrics. Other alternative methods of gauging sampling bias may exist. For instance, there are many diversity metrics in ecology, including Chao's estimate of asymptotic species richness (41) , and in information theory, techniques like Shannon's entropy, which was applied in Fig. 1C . In particular, it is well known that the empirical Shannon entropy of a sample underestimates the entropy of the true distribution. Bootstrapping techniques can be used to estimate the bias produced by a low number of sequences. This method is attractive for its ability to measure surveillance by assaying the diversity of a pathogen directly. However, like the phylogenetic and bar coding methods considered, implementation for a large number of trials is substantially more difficult, computationally expensive, and time-consuming.
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