CRAN/E | debar

debar

A Post-Clustering Denoiser for COI-5P Barcode Data

Installation

About

The 'debar' sequence processing pipeline is designed for denoising high throughput sequencing data for the animal DNA barcode marker cytochrome c oxidase I (COI). The package is designed to detect and correct insertion and deletion errors within sequencer outputs. This is accomplished through comparison of input sequences against a profile hidden Markov model (PHMM) using the Viterbi algorithm (for algorithm details see Durbin et al. 1998, ISBN: 9780521629713). Inserted base pairs are removed and deleted base pairs are accounted for through the introduction of a placeholder character. Since the PHMM is a probabilistic representation of the COI barcode, corrections are not always perfect. For this reason 'debar' censors base pairs adjacent to reported indel sites, turning them into placeholder characters (default is 7 base pairs in either direction, this feature can be disabled). Testing has shown that this censorship results in the correct sequence length being restored, and erroneous base pairs being masked the vast majority of the time (>95%).

Key Metrics

Version 0.1.0
R ≥ 3.0.0
Published 2019-12-22 1586 days ago
Needs compilation? no
License GPL-3
CRAN checks debar results

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Maintainer

Maintainer

Cameron M. Nugent

nugentc@uoguelph.ca

Authors

Cameron M. Nugent

Material

README
Reference manual
Package source

Vignettes

debar-algorithm-details
debar-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.0.0

Imports

ape
aphid
seqinr
parallel

Suggests

knitr
rmarkdown
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