Estimate error rates from transition counts in PacBio CCS data.
This function accepts a matrix of observed transitions from PacBio CCS amplicon
sequencing data, with each transition
corresponding to a row (eg. row 2 = A->C) and each column to a quality score
(eg. col 31 = Q30). It returns a matrix of estimated error
rates of the same shape. Error rates are estimates by loessErrfun
for quality scores 0-92, and individually by the maximum likelihood estimate
for the maximum quality score of 93.
PacBioErrfun(trans)
trans |
(Required). A matrix of the observed transition counts. Must be 16 rows, with the rows named "A2A", "A2C", ... |
A numeric matrix with 16 rows and the same number of columns as trans.
The estimated error rates for each transition (row, eg. "A2C") and quality score
(column, eg. 31), as determined by loess smoothing over the quality
scores within each transition category.
derep.PB <- derepFastq(system.file("extdata", "samPB.fastq.gz", package="dada2"))
dada.PB <- dada(derep.PB, errorEstimationFunction=PacBioErrfun, BAND_SIZE=32, selfConsist=TRUE)
err.PB <- PacBioErrfun(dada.PB$trans)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.