motifScan | R Documentation |
function to find motif matches
motifScan(pwms, subject, ...)
## S4 method for signature 'PWMatrixList,DNAStringSet'
motifScan(
pwms,
subject,
genome = NULL,
bg = c("genome", "subject", "even"),
out = c("matches", "scores", "positions"),
p.cutoff = 1e-04,
ranges = NULL,
thread = 1,
random.seed = NULL,
cutoff.matrix.loc = "./",
cutoff.matrix.name = NULL
)
## S4 method for signature 'PWMatrixList,character'
motifScan(
pwms,
subject,
genome = NULL,
bg = c("genome", "subject", "even"),
out = c("matches", "scores", "positions"),
p.cutoff = 1e-04,
ranges = NULL,
thread = 1,
random.seed = NULL,
cutoff.matrix.loc = "./",
cutoff.matrix.name = NULL
)
## S4 method for signature 'PWMatrixList,DNAString'
motifScan(
pwms,
subject,
genome = NULL,
bg = c("genome", "subject", "even"),
out = c("matches", "scores", "positions"),
p.cutoff = 1e-04,
ranges = NULL,
thread = 1,
random.seed = NULL,
cutoff.matrix.loc = "./",
cutoff.matrix.name = NULL
)
## S4 method for signature 'PWMatrixList,GenomicRanges'
motifScan(
pwms,
subject,
genome = GenomeInfoDb::genome(subject),
bg = c("genome", "subject", "even"),
out = c("matches", "scores", "positions"),
p.cutoff = 1e-04,
thread = 1,
random.seed = NULL,
cutoff.matrix.loc = "./",
cutoff.matrix.name = NULL
)
## S4 method for signature 'PWMatrixList,RangedSummarizedExperiment'
motifScan(
pwms,
subject,
genome = GenomeInfoDb::genome(subject),
bg = c("genome", "subject", "even"),
out = c("matches", "scores", "positions"),
p.cutoff = 1e-04,
thread = 1,
random.seed = NULL,
cutoff.matrix.loc = "./",
cutoff.matrix.name = NULL
)
## S4 method for signature 'PWMatrixList,BSgenomeViews'
motifScan(
pwms,
subject,
bg = c("genome", "subject", "even"),
out = c("matches", "scores", "positions"),
p.cutoff = 1e-04,
thread = 1,
random.seed = NULL,
cutoff.matrix.loc = "./",
cutoff.matrix.name = NULL
)
## S4 method for signature 'PFMatrixList,ANY'
motifScan(pwms, subject, ...)
## S4 method for signature 'PWMatrix,ANY'
motifScan(pwms, subject, ...)
## S4 method for signature 'PFMatrix,ANY'
motifScan(pwms, subject, ...)
pwms |
either |
subject |
either |
... |
additional arguments depending on inputs |
genome |
BSgenome object, or |
bg |
background nucleotide frequencies. Default is to compute based on genome, i.e. the specific genome being evaluated. See Details. |
out |
what to return? see value section |
p.cutoff |
p-value cutoff for returning motifs, should be one of 0.01, 0.001, 1e-04, 1e-05, 1e-06.(default=1e-04) |
ranges |
if subject is not GenomicRanges or RangedSummarizedExperiment, these ranges can be used to specify what ranges the input sequences correspond to. These ranges will be incorporated into the SummarizedExperiment output if out is "matches" or "scores" or will be used to give absolute positions of motifs if out is "positions" |
thread |
thread for running motifscan |
random.seed |
seed number for random program |
cutoff.matrix.loc |
the location of local motif score cutoff file, if the file is not present, motifscanR will generate by itself and save in the current working directory as './species_collect_cutoff_motifs_matrix.Rdata'(default), and the user could specify a specific file directory with 'save_path', or specify the cutoff matrix file by user himself with parameter cutoff.matrix.name |
cutoff.matrix.name |
the name of local motif score cutoff file, if the file is not present, motifscanR will generate by itself and save in the current working directory as './species_collect_cutoff_motifs_matrix.Rdata'(default), and the user could specify a specific file directory with 'save_path', then save as './[cutoff.matrix.name]_cutoff_motifs_matrix.Rdata, so user could use the next time if the pwms and the genome are same. |
Background nucleotide frequencies can be set to "genome" for using the genomice frequencies (in which case a genome must be specified), "subject" to use the subject sequences or ranges for computing the nucleotide frequencies, "even" for using 0.25 for each base, or a numeric vector with A, C, G, and T frequencies.
Either returns a SummarizedExperiment with a sparse matrix with
values set to TRUE for a match (if out == 'matches'), a
SummarizedExperiment with a matches matrix as well as matrices with the
maximum motif score and total motif counts (if out == 'scores'), or a
GenomicRangesList
or a list of
IRangesList
with all the positions of matches
(if out == 'positions')
motifScan(pwms = PWMatrixList, subject = DNAStringSet)
: PWMatrixList/DNAStringSet
motifScan(pwms = PWMatrixList, subject = character)
: PWMatrixList/character
motifScan(pwms = PWMatrixList, subject = DNAString)
: PWMatrixList/DNAString
motifScan(pwms = PWMatrixList, subject = GenomicRanges)
: PWMatrixList/GenomicRanges
motifScan(pwms = PWMatrixList, subject = RangedSummarizedExperiment)
: PWMatrixList/RangedSummarizedExperiment
motifScan(pwms = PWMatrixList, subject = BSgenomeViews)
: PWMatrixList/BSGenomeViews
motifScan(pwms = PFMatrixList, subject = ANY)
: PFMatrixList/ANY
motifScan(pwms = PWMatrix, subject = ANY)
: PWMatrix/ANY
motifScan(pwms = PFMatrix, subject = ANY)
: PFMatrix/ANY
example_motifs <- getJasparMotifs(species = "Homo sapiens",
collection = "CORE")
# Make a set of peaks
peaks <- GenomicRanges::GRanges(seqnames = c("chr1","chr2","chr2"),
ranges = IRanges::IRanges(start = c(76585873,42772928,
100183786),
width = 500))
# Scan motif for example motifs
motif_ix <- motifScan(example_motifs, peaks, genome = "BSgenome.Hsapiens.UCSC.hg19")
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