View source: R/genotyping_main.R
genotyping_main | R Documentation |
Use this function to genotype a target crispr locus.
genotyping_main(
crispr_target,
genome = c("Drerio", "GFP"),
network_directory,
multiplex = TRUE,
read_threshold = 25,
bed = "data-raw/master.bed",
split_snv = TRUE,
txdb = system.file("extdata/GRCz11.97_txdb.sqlite", package =
"BSgenome.Drerio.blaserlabgenotyping.dr11"),
cutadapt_path = "/workspace/python/anaconda3/envs/cutadaptenv/bin/cutadapt"
)
crispr_target |
The name of the crispr target locus. Must be present on the master BEDfile |
genome |
The genome to use. Can be either Drerio or GFP. Default is Drerio. |
network_directory |
Network directory containing fastqs. The fastqs can be nested in a subdirectory; the output will be placed in the directory named. |
multiplex |
Whether or not to demultiplex, Default: TRUE |
read_threshold |
Remove alleles with read counts below this threshold, Default: 25 |
bed |
master bedfile to use, Default: 'data-raw/master.bed' |
split_snv |
If TRUE, will count SNVs as variant alleles. |
txdb |
transcriptome database to use. If using a nonstandard transgene, should be set to NULL. |
cutadapt_path |
The path to your cutadapt binary. Find this by running $ which cutadapt in your terminal. |
Nothing; writes out to the network directory.
character(0)
detectCores
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