do_error_learn: Learn Error Rates for Sequences
In erictleung/dada2HPCPipe: DADA2 HPC Workflow Wrapper
Description
Usage
Arguments
Value
Examples
Description
The error rates of the samples sequences are learned, so that they can be
accurately accounted for in the denoising step.
Usage
1
do_error_learn(filt_Fs, filt_Rs)
Arguments
filt_Fs
forward filtered reads
filt_Rs
reverse filtered reads
Value
Returns list of errors
err_ferror rates learned for forward sequences
err_rerror rates learned for reverse sequences
Examples
1
2
3
4
example_map <- "mapping.txt"
example_data <- "sequences"
input_files <- do_input_step(example_map, example_data)
errors <- do_derep_step(input_files$seq_f, input_files$seq_r)
erictleung/dada2HPCPipe documentation built on May 10, 2019, 1:19 p.m.
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Description Usage Arguments Value Examples
Description
The error rates of the samples sequences are learned, so that they can be accurately accounted for in the denoising step.
Usage
1 | do_error_learn(filt_Fs, filt_Rs)
|
Arguments
filt_Fs |
forward filtered reads |
filt_Rs |
reverse filtered reads |
Value
Returns list of errors
err_ferror rates learned for forward sequences
err_rerror rates learned for reverse sequences
Examples
1 2 3 4 | example_map <- "mapping.txt"
example_data <- "sequences"
input_files <- do_input_step(example_map, example_data)
errors <- do_derep_step(input_files$seq_f, input_files$seq_r)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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