tperr1


A dataset containing the error matrix estimated by fitting a piecewise linear model to
the errors observed in the mock community featured in Schirmer 2015 (metaID 35).


The dada2 package provides "OTU picking" functionality, but instead
of picking OTUs the DADA2 algorithm exactly infers samples sequences. The dada2
pipeline starts from demultiplexed fastq files, and outputs inferred sample
sequences and associated abundances after removing substitution and chimeric
errors. Taxonomic classification is also available via a native implementation
of the RDP classifier method.

Benjamin Callahan

dada2

Accurate, high-resolution sample inference from amplicon
sequencing data

tperr1 function

A numerical matrix with 16 rows and 41 columns.
 Rows correspond to the 16 transition (eg. A2A, A2C, ...)
 Columns correspond to consensus quality scores 0 to 40.

Format

A dataset containing the error matrix estimated by fitting a piecewise linear model to
the errors observed in the mock community featured in Schirmer 2015 (metaID 35).

tperr1: An empirical error matrix.

Description

Arguments

Format