View source: R/ApproximateBackground.R
ApproximateBackground | R Documentation |
This function is designed to work internally to SummarizePairs
so it works on relatively simple atomic vectors and has little overhead checking.
ApproximateBackground(p1,
p2,
code1,
code2,
mod1,
mod2,
aa1,
aa2,
nt1,
nt2,
register1,
register2,
aamat,
ntmat)
p1 |
Integer; references positions within nt1 or aa1. |
p2 |
Integer; references positions within nt2 or aa2. |
code1 |
Logical; specifies whether the position referenced by p1 is reported as a coding sequence. |
code2 |
Logical; specifies whether the position referenced by p2 is reported as a coding sequence. |
mod1 |
Logical; specifies whether the position referenced by p1 can be translated without complaint by |
mod2 |
Logical; specifies whether the position referenced by p2 can be translated without complaint by |
aa1 |
AAStringSet. |
aa2 |
AAStringSet. |
nt1 |
DNAStringSet. |
nt2 |
DNAStringSet. |
register1 |
Integer; a vector that maps which positions in aa1 are the translations of that particular index in nt1. NAs identify positions that are not translated. |
register2 |
Integer; a vector that maps which positions in aa2 are the translations of that particular index in nt2. NAs identify positions that are not translated. |
aamat |
A substitution matrix for amino acids. |
ntmat |
A substitution matrix for nucleotides. |
ApproximateBackground
generates approximate background alignment scores for sets of sequences.
A vector of numerics.
Nicholas Cooley npc19@pitt.edu
NucleotideOverlap
, SummarizePairs
, FindSynteny
fas <- system.file("extdata", "50S_ribosomal_protein_L2.fas", package="DECIPHER")
dna <- readDNAStringSet(fas)
aa <- translate(dna)
s1 <- sample(x = length(dna),
size = 30,
replace = FALSE)
s2 <- s1[1:15]
s1 <- s1[16:30]
mat1 <- DECIPHER:::.getSubMatrix("PFASUM50")
mat2 <- DECIPHER:::.nucleotideSubstitutionMatrix(2L, -1L, 1L)
aa1 <- aa2 <- alphabetFrequency(aa)
aa1 <- aa2 <- aa1[, colnames(mat1)]
aa1 <- aa2 <- aa1 / rowSums(aa1)
nt1 <- nt2 <- alphabetFrequency(dna)
nt1 <- nt2 <- nt1[, colnames(mat2)]
nt1 <- nt2 <- nt1 / rowSums(nt1)
x <- ApproximateBackground(p1 = s1,
p2 = s2,
code1 = rep(TRUE, length(s1)),
code2 = rep(TRUE, length(s2)),
mod1 = rep(TRUE, length(s1)),
mod2 = rep(TRUE, length(s2)),
aa1 = aa1,
aa2 = aa2,
nt1 = nt1,
nt2 = nt2,
register1 = seq(length(dna)),
register2 = seq(length(dna)),
aamat = mat1,
ntmat = mat2)
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