A simple binomial test for estimating sequencing errors in public repository 16S rRNA sequences.

Abstract:

:Sequences in public databases may contain a number of sequencing errors. A double binomial model describing the distribution of indel-excluded similarity coefficients (S) among repeatedly sequenced 16S rRNA was previously developed and it produced a confidence interval of S useful for testing sequence identity among sequences of 400-bp length. We characterized patterns in sequencing errors found in nearly complete 16S rRNA sequences of Vibrionaceae as highly variable in reported sequence length and containing a small number of indels. To accommodate these characteristics, a simple binomial model for distribution of the similarity coefficient (H) that included indels was derived from the double binomial model for S. The model showed good fit to empirical data. By using either a pre-determined or bootstrapping estimated standard probability of base matching, we were able to use the exact binomial test to determine the relative level of sequencing error for a given pair of duplicated sequences. A limitation of the method is the requirement that duplicated sequences for the same template sequence be paired, but this can be overcome by using only conserved regions of 16S rRNA sequences and pairing a given sequence with its highest scoring BLAST search hit from the nr database of GenBank.

journal_name

J Microbiol Methods

authors

Zo YG,Colwell RR

doi

10.1016/j.mimet.2007.11.013

subject

Has Abstract

pub_date

2008-02-01 00:00:00

pages

166-79

issue

2

eissn

0167-7012

issn

1872-8359

pii

S0167-7012(07)00391-0

journal_volume

72

pub_type

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