region_info | R Documentation |
region_info
returns annotation of a single potential probe sequence or
list of sequences and, if specified, prints the resuts in a .csv file.
region_info(
REGION,
CSV = TRUE,
SEQ = TRUE,
OUTDIR = tempdir(),
CODING_ONLY = FALSE
)
REGION |
Either a single hg19 genomic sequence including the chromosome,
start, end, and optionally strand separated by colons (e.g.,
|
CSV |
A |
SEQ |
A 'logical(1)“ value indicating if the base sequence should be returned. |
OUTDIR |
If a .csv file is to be exported, this parameter indicates the path where the file should be saved. By default the file will be saved in a temporary directory. |
CODING_ONLY |
A logical vector of length 1 specifying whether to
subset the Annotated Genes to only the coding genes. That is, whether to
subset the genes by whether they have a non-NA |
This function annotates all input sequences using
bumphunter::matchGenes()
. It returns a data frame where each
row is a genomic sequence specified in REGION. The columns
c('seqnames', 'start', 'end', 'width', 'strand') list the chromosome,
range, sequence length, and strand of the REGION. The columns c('name',
'annotation', 'description', 'region', 'distance', 'subregion',
'insideDistance', 'exonnumber', 'nexons', 'UTR', 'geneL', 'codingL',
'Geneid', 'subjectHits') are described in
bumphunter::matchGenes()
documentation.
If SEQ=TRUE, a column 'Sequence' will be included. This is recommended for sending the probe sequence to be synthesized.
If CSV=TRUE, a .csv file called region_info.csv will be saved to a
temporary directory unless otherwise specified in OUTDIR
.
Amanda J Price
x <- region_info("chr20:10286777-10288069:+", CSV = FALSE)
head(x)
## You can easily transform this data.frame to a GRanges object
GenomicRanges::GRanges(x)
y <- region_info(
c(
"chr20:10286777-10288069:+",
"chr18:74690788-74692427:-",
"chr19:49932861-49933829:-"
),
CSV = FALSE, SEQ = FALSE
)
head(y)
candidates <- c(
"chr20:10286777-10288069:+",
"chr18:74690788-74692427:-",
"chr19:49932861-49933829:-"
)
region_info(candidates, CSV = FALSE)
## Explore the effect of changing CODING_ONLY
## Check how the "distance", "name", "Geneid" among other values change
region_info("chr10:135379301-135379311:+", CSV = FALSE)
region_info("chr10:135379301-135379311:+", CSV = FALSE, CODING_ONLY = TRUE)
## Not run:
region_info(candidates, OUTDIR = "/path/to/directory/")
region_info("chr20:10286777-10288069:+", OUTDIR = "/path/to/directory")
## End(Not run)
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