run_cuteSV | R Documentation |
cuteSV, a long-read-based structural variant detection program
run_cuteSV(
input = NULL,
reference = NULL,
sample.names = NULL,
bed = NULL,
out.dir = NULL,
platform = NULL,
max_cluster_bias_INS = NULL,
diff_ratio_merging_INS = NULL,
max_cluster_bias_DEL = NULL,
diff_ratio_merging_DEL = NULL,
min_mapq = NULL,
min_support = NULL,
min_size = NULL,
max_size = NULL,
min_read_length = NULL,
parallel = FALSE,
cores = 4,
execute = FALSE,
cuteSV = NULL,
version = FALSE
)
input |
List of sorted bam files, required |
reference |
Path to the fasta formatted reference |
sample.names |
List of the sample names |
bed |
Only detect SVs in regions in the BED file |
out.dir |
Name of the directory from the cuteSV output |
platform |
Names of the sequencing platform, choose either "ONT", "PacBio_CLR", "PacBio_CCS" or "FORCE" |
max_cluster_bias_INS |
Maximum distance to cluster reads together for insertion. |
diff_ratio_merging_INS |
Do not merge breakpoints with basepair identity more than [0.3] for insertion. |
max_cluster_bias_DEL |
Maximum distance to cluster read together for deletion. |
diff_ratio_merging_DEL |
Do not merge breakpoints with basepair identity more than [0.5] for deletion. |
min_mapq |
Minimum mapping quality value of alignment to be taken into account. |
min_support |
Minimum number of reads that support a SV to be reported. |
min_size |
Minimum size of SV to be reported. |
max_size |
Maximum size of SV to be reported. All SVs are reported when using -1 |
min_read_length |
Minimum read alignment length |
parallel |
Run in parallel, default set to FALSE |
cores |
Number of cores/threads to use for parallel processing, default set to 4 |
execute |
Whether to execute the commands or not, default set to TRUE |
cuteSV |
Path to the cuteSV program, required |
version |
Returns the version number |
A list with the Minimap2 commands
## Not run:
cuteSV.path <- "path/to/cuteSV"
run_cuteSV(cuteSV = cuteSV.path,
version = TRUE)
out.dir <- "VCF"
sample.names <- c("sample_1","sample_2","sample_3")
sorted.bam.files <- c("sample_1.bam","sample_2.bam","sample_3.bam")
genome = "/datastore/Gneomes/Reference/genome.fa"
run_cuteSV(input = sorted.bam.files,
reference = genome,
sample.names = sample.names,
out.dir =out.dir,
platform = "ONT",
cuteSV = cuteSV.path)
## End(Not run)
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