TXIMPORT¶

Import and summarize transcript-level estimates for both transcript-level and gene-level analysis.

Example¶

This wrapper can be used in the following way:

rule tximport:
    input:
        quant = expand("quant/A/quant.sf")
        # Optional transcript/gene links as described in tximport
        # tx2gene = /path/to/tx2gene
    output:
        txi = "txi.RDS"
    params:
        extra = "type='salmon', txOut=TRUE"
    wrapper:
        "v2.6.0-35-g755343f/bio/tximport"

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.

Notes¶

Add any tximport options in the params, they will be transmitted through the R wrapper. Supplementary options will cause unknown parameters error.

Software dependencies¶

bioconductor-tximport=1.28.0
r-readr=2.1.4
r-jsonlite=1.8.7

Input/Output¶

Input:

A list of paths to count data

Output:

A tximport RDS object

Authors¶

Thibault Dayris

Code¶

#!/bin/R

# Loading library
base::library("tximport");   # Perform actual count importation in R
base::library("readr");      # Read faster!
base::library("jsonlite");   # Importing inferential replicates

# Cast input paths as character to avoid errors
samples_paths <- sapply(               # Sequentially apply
  snakemake@input[["quant"]],          # ... to all quantification paths
  function(quant) as.character(quant)  # ... a cast as character
);

# Collapse path into a character vector
samples_paths <- base::paste0(samples_paths, collapse = '", "');

# Building function arguments
extra <- base::paste0('files = c("', samples_paths, '")');

# Check if user provided optional transcript to gene table
if ("tx_to_gene" %in% names(snakemake@input)) {
  tx2gene <- readr::read_tsv(snakemake@input[["tx_to_gene"]]);
  extra <- base::paste(
    extra,                 # Foreward existing arguments
    ", tx2gene = ",        # Argument name
    "tx2gene"              # Add tx2gene to parameters
  );
}

# Add user defined arguments
if ("extra" %in% names(snakemake@params)) {
  if (snakemake@params[["extra"]] != "") {
    extra <- base::paste(
      extra,                       # Foreward existing parameters
      snakemake@params[["extra"]], # Add user parameters
      sep = ", "                   # Field separator
    );
  }
}


print(extra);
# Perform tximport work
txi <- base::eval(                        # Evaluate the following
  base::parse(                            # ... parsed expression
    text = base::paste0(
      "tximport::tximport(", extra, ");"  # ... of tximport and its arguments
    )
  )
);

# Save results
base::saveRDS(                       # Save R object
  object = txi,                      # The txi object
  file = snakemake@output[["txi"]]   # Output path is provided by Snakemake
);