Occupancy modelling of sequencing data

AD Anni Djurhuus
CC Collin J. Closek
RK Ryan P. Kelly
KP Kathleen J. Pitz
RM Reiko P. Michisaki
HS Hilary A. Starks
KW Kristine R. Walz
EA Elizabeth A. Andruszkiewicz
EO Emily Olesin
KH Katherine Hubbard
EM Enrique Montes
DO Daniel Otis
FM Frank E. Muller-Karger
FC Francisco P. Chavez
AB Alexandria B. Boehm
MB Mya Breitbart
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For each individual-locus dataset, the first step of decontamination was to determine the OTUs likely to be truly present in the dataset vs. those likely to be false-positive discoveries (e.g., artefacts of PCR or sequencing), see Supplementary Fig. 2. We used a site-occupancy model to estimate the probability of OTU occurrence51,52, using multiple PCR replicates of each environmental sample as independent draws from a common binomial distribution. We eliminated any OTU with <80% estimated probability of occurrence (a break point in the observed distribution of occupancy probabilities) from the dataset.

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