Comments (1)
Hi,
We have prepared a demo dataset. See below for a complete code example with fastq files from McGinnis et al(Download from https://github.com/Gartner-Lab/deMULTIplex2_test_data/):
fastq_dir <- "McGinnis_BAR_fastq/"
read_table <- readTags(dir = fastq_dir,
name = "TGACCA",
barcode.type = "MULTIseq",
assay = "RNA")
data(multiseq_oligos) # Current MULTI-seq oligo sequence provided with the package
tag.ref <- multiseq_oligos
tag_mtx <- alignTags(read_table, tag.ref)
cell_ids <- Matrix::rowSums(tag_mtx) > 100 # Filter for cells (it's better to use your own cell filter criteria based on RNA count)
tag_used <- Matrix::colSums(tag_mtx) > 1e4 # Filter for used tags
tag_mtx <- tag_mtx[cell_ids,tag_used]
res <- demultiplexTags(tag_mtx,
plot.path = "./",
plot.name = "demux2_",
plot.diagnostics = T)
Let us know if you have additional questions.
from demultiplex2.
Related Issues (4)
- Error installing HOT 2
- Fitting failed HOT 1
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