Author: Sofia Morfopoulou; Vincent Plagnol
Title: Bayesian mixture analysis for metagenomic community profiling. Document date: 2014_7_25
ID: 058r9486_1
Snippet: Metagenomics can be defined as the analysis of a collection of DNA or RNA sequences originating from a single sample. In practice, its scope is broad and includes the analysis of a diverse set of samples such as gut microbiome (Qin et al., 2010) , (Minot et al., 2011) , environmental (Mizuno et al., 2013) or clinical (Willner et al., 2009) , (Negredo et al., 2011 ), (McMullan et al., 2012 samples. Among these applications, the discovery of viral .....
Document: Metagenomics can be defined as the analysis of a collection of DNA or RNA sequences originating from a single sample. In practice, its scope is broad and includes the analysis of a diverse set of samples such as gut microbiome (Qin et al., 2010) , (Minot et al., 2011) , environmental (Mizuno et al., 2013) or clinical (Willner et al., 2009) , (Negredo et al., 2011 ), (McMullan et al., 2012 samples. Among these applications, the discovery of viral pathogens is clearly relevant for clinical practice (Fancello et al., 2012) , (Chiu, 2013) . The traditional process of characterizing a virus through potentially difficult and time consuming culture techniques is being revolutionized by advances in high throughput sequencing. Potential benefits of sequence driven methodologies include a more rapid turnaround time (Quail et al., 2012) , combined with a largely unbiased approach in species detection, including the opportunity for unexpected discoveries.
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