DADA2_MERGE_PAIRS¶
DADA2
Merging denoised forward and reverse reads using dada2 mergePairs
function. Optional parameters are documented in the manual and the function is introduced in the dedicated tutorial section.
Example¶
This wrapper can be used in the following way:
rule dada2_merge_pairs:
input:
dadaF="denoised/{sample}.1.RDS",# Inferred composition
dadaR="denoised/{sample}.2.RDS",
derepF="uniques/{sample}.1.RDS",# Dereplicated sequences
derepR="uniques/{sample}.2.RDS"
output:
"merged/{sample}.RDS"
# Even though this is an R wrapper, use named arguments in Python syntax
# here, to specify extra parameters. Python booleans (`arg1=True`, `arg2=False`)
# and lists (`list_arg=[]`) are automatically converted to R.
# For a named list as an extra named argument, use a python dict
# (`named_list={name1=arg1}`).
#params:
# verbose=True
log:
"logs/dada2/merge-pairs/{sample}.log"
threads: 1 # set desired number of threads here
wrapper:
"v1.23.5/bio/dada2/merge-pairs"
Note that input, output and log file paths can be chosen freely.
When running with
snakemake --use-conda
the software dependencies will be automatically deployed into an isolated environment before execution.
Software dependencies¶
bioconductor-dada2=1.26.0
Input/Output¶
Input:
dadaF
: RDS file with the inferred sample composition from forward readsdadaR
: reversederepF
: RDS file with the dereplicated forward readsderepR
: reverse
Output:
- RDS file with the merged pairs
Params¶
optional arguments for ``mergePairs()
, please provide them as pythonkey=value
pairs``:
Authors¶
- Charlie Pauvert
Code¶
# __author__ = "Charlie Pauvert"
# __copyright__ = "Copyright 2020, Charlie Pauvert"
# __email__ = "cpauvert@protonmail.com"
# __license__ = "MIT"
# Snakemake wrapper for merging denoised forward and reverse reads using dada2 mergePairs function.
# Sink the stderr and stdout to the snakemake log file
# https://stackoverflow.com/a/48173272
log.file<-file(snakemake@log[[1]],open="wt")
sink(log.file)
sink(log.file,type="message")
library(dada2)
# Prepare arguments (no matter the order)
args<-list(
dadaF = snakemake@input[["dadaF"]],
derepF = snakemake@input[["derepF"]],
dadaR = snakemake@input[["dadaR"]],
derepR = snakemake@input[["derepR"]]
)
# Read RDS from the list
args<-sapply(args,readRDS)
# Check if extra params are passed
if(length(snakemake@params) > 0 ){
# Keeping only the named elements of the list for do.call()
extra<-snakemake@params[ names(snakemake@params) != "" ]
# Add them to the list of arguments
args<-c(args, extra)
} else{
message("No optional parameters. Using default parameters from dada2::mergePairs()")
}
# Merge pairs
merger<-do.call(mergePairs, args)
# Store the estimated errors as RDS files
saveRDS(merger, snakemake@output[[1]],compress = T)
# Close the connection for the log file
sink(type="message")
sink()