rcc {nanostringr} | R Documentation |
Read NanoString RCC files
Description
Read RCC files and extract count and attribute data. Use read_rcc()
for
multiple files, and use the parse_*()
functions for single files.
Usage
read_rcc(path = ".")
parse_counts(file)
parse_attributes(file)
Arguments
path |
directory path for multiple RCC files |
file |
RCC file name |
Details
RCC files for a sample are direct outputs from NanoString runs. We can
extract counts for each gene in a sample. Sample attributes include sample
ID, GeneRLF, date, cartridge ID, lane number, Fov count, Fov counted, and
binding density. read_rcc()
merges both count and attribute data across
samples.
If path
points to a zipped RCC file with multiple samples, the zip file is
uncompressed and a directory of RCC sample files is created with the same
name. Only file extensions ".RCC" or ".rcc" are allowed.
Value
read_rcc()
reads in a directory of RCC files and outputs a list
with two elements:
-
raw
: A tibble of parsed counts for multiple RCC files created by callingparse_counts()
on each sample. Columns include "Code.Class", "Name", "Accession", and a column for each sample ID. There is one row per gene. -
exp
: A tibble of parsed attributes for multiple RCC files created by callingparse_attributes()
on each sample. Columns include "File.Name" (sample ID), "geneRLF", "nanostring.date", "cartridgeID", "lane.number", fov.count", "fov.counted", "binding.density". There is one row per sample.
parse_counts()
reads a single RCC file and returns a tibble of
parsed counts.
parse_attributes()
reads a single RCC file and returns a list of
parsed attributes.
Author(s)
Derek Chiu
Examples
rcc_file <- system.file("extdata", "example.RCC", package = "nanostringr")
parse_counts(rcc_file)
parse_attributes(rcc_file)