#!/usr/bin/env Rscript
options(error = function() traceback(2))
library("infercnv")
# create the infercnv object
infercnv_obj = CreateInfercnvObject(raw_counts_matrix=system.file("extdata", "oligodendroglioma_expression_downsampled.counts.matrix.gz", package = "infercnv"),
annotations_file=system.file("extdata", "oligodendroglioma_annotations_downsampled.txt", package = "infercnv"),
delim="\t",
gene_order_file=system.file("extdata", "gencode_downsampled.EXAMPLE_ONLY_DONT_REUSE.txt", package = "infercnv"),
ref_group_names=c("Microglia/Macrophage","Oligodendrocytes (non-malignant)"))
out_dir="output_dir"
# perform infercnv operations to reveal cnv signal
infercnv_obj = infercnv::run(infercnv_obj,
cutoff=1, # cutoff=1 works well for Smart-seq2, and cutoff=0.1 works well for 10x Genomics
out_dir=out_dir,
cluster_by_groups=TRUE,
analysis_mode="subclusters",
plot_steps=FALSE,
denoise=TRUE,
sd_amplifier=2,
HMM=TRUE
)
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