Estimating the Optimum Coverage and Quality of Amplicon Sequencing With Taylor's Power Law Extensions.

ABSTRACT: Theoretical analysis of DNA sequencing coverage problem has been investigated with complex mathematical models such as Lander-Waterman expectation theory and Stevens' theorem for randomly covering a domain. In the field of metagenomics sequencing, several approaches have been developed to estimate the coverage of whole-genome shotgun sequencing, but surprisingly few studies addressed the coverage problem for marker-gene amplicon sequencing, for which arguably the biggest challenge is the complexity or heterogeneity of microbial communities. Overall, much of the practice still relies variously on speculation, semi-empirical and ad hoc heuristic models. Conservatively raising coverage may ensure the success of sequencing project, but often with unduly cost. In this study, we borrow the princ

SUBMITTER: Ma ZS 

PROVIDER: S-EPMC7242763 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature