Nothing
## ----LoadPackageToDetermineVersion,echo=FALSE,message=FALSE,results='hide'----
options(width=65)
set.seed(0)
library(msa)
library(seqinr)
msaVersion <- packageDescription("msa")$Version
msaDateRaw <- packageDescription("msa")$Date
msaDateYear <- as.numeric(substr(msaDateRaw, 1, 4))
msaDateMonth <- as.numeric(substr(msaDateRaw, 6, 7))
msaDateDay <- as.numeric(substr(msaDateRaw, 9, 10))
msaDate <- paste(month.name[msaDateMonth], " ",
msaDateDay, ", ",
msaDateYear, sep="")
## ----InstallMSA,eval=FALSE-------------------------------------
# if (!requireNamespace("BiocManager", quietly=TRUE))
# install.packages("BiocManager")
# BiocManager::install("msa")
## ----LoadMSA,eval=FALSE----------------------------------------
# library(msa)
## ----locateTeXshadeSty,eval=FALSE------------------------------
# system.file("tex", "texshade.sty", package="msa")
## ----SimpleExFileNames-----------------------------------------
mySequenceFile <- system.file("examples", "exampleAA.fasta", package="msa")
mySequences <- readAAStringSet(mySequenceFile)
mySequences
## ----doAlignment-----------------------------------------------
myFirstAlignment <- msa(mySequences)
myFirstAlignment
## ----showWholeWidth--------------------------------------------
print(myFirstAlignment, show="complete")
## ----IntegratePDF2---------------------------------------------
msaPrettyPrint(myFirstAlignment, output="pdf", showNames="none",
showLogo="none", askForOverwrite=FALSE, verbose=FALSE)
## ----VisualizePDF,results='asis'-------------------------------
msaPrettyPrint(myFirstAlignment, y=c(164, 213), output="asis",
showNames="none", showLogo="none", askForOverwrite=FALSE)
## ----OtherAlgorithms-------------------------------------------
myClustalWAlignment <- msa(mySequences, "ClustalW")
myClustalWAlignment
myClustalOmegaAlignment <- msa(mySequences, "ClustalOmega")
myClustalOmegaAlignment
myMuscleAlignment <- msa(mySequences, "Muscle")
myMuscleAlignment
## ----helpPrint,eval=FALSE--------------------------------------
# help("print,MsaDNAMultipleAlignment-method")
## ----printExamples---------------------------------------------
print(myFirstAlignment)
print(myFirstAlignment, show="complete")
print(myFirstAlignment, showConsensus=FALSE, halfNrow=3)
print(myFirstAlignment, showNames=FALSE, show="complete")
## ----maskExample-----------------------------------------------
myMaskedAlignment <- myFirstAlignment
colM <- IRanges(start=1, end=100)
colmask(myMaskedAlignment) <- colM
myMaskedAlignment
## ----unmaskedExample-------------------------------------------
unmasked(myMaskedAlignment)
## ----consensusExample1-----------------------------------------
conMat <- consensusMatrix(myFirstAlignment)
dim(conMat)
conMat[, 101:110]
## ----consensusExample2-----------------------------------------
conMat <- consensusMatrix(myMaskedAlignment)
conMat[, 95:104]
## ----consensusExample3-----------------------------------------
printSplitString <- function(x, width=getOption("width") - 1)
{
starts <- seq(from=1, to=nchar(x), by=width)
for (i in 1:length(starts))
cat(substr(x, starts[i], starts[i] + width - 1), "\n")
}
printSplitString(msaConsensusSequence(myFirstAlignment))
## ----consensusExample4-----------------------------------------
printSplitString(msaConsensusSequence(myFirstAlignment, type="upperlower",
thresh=c(40, 20)))
## ----consensusExample5-----------------------------------------
printSplitString(msaConsensusSequence(myMaskedAlignment, type="upperlower",
thresh=c(40, 20)))
## ----conservationExample1--------------------------------------
data(BLOSUM62)
msaConservationScore(myFirstAlignment, BLOSUM62)
## ----conservationExample2--------------------------------------
msaConservationScore(myFirstAlignment, BLOSUM62, gapVsGap=0,
type="upperlower", thresh=c(40, 20))
## ----conservationExample3--------------------------------------
msaConservationScore(myMaskedAlignment, BLOSUM62, gapVsGap=0,
type="upperlower", thresh=c(40, 20))
## ----Hemoglobin1-----------------------------------------------
hemoSeq <- readAAStringSet(system.file("examples/HemoglobinAA.fasta",
package="msa"))
hemoAln <- msa(hemoSeq)
hemoAln
hemoAln2 <- msaConvert(hemoAln, type="seqinr::alignment")
## ----Hemoglobin2-----------------------------------------------
library(seqinr)
d <- dist.alignment(hemoAln2, "identity")
as.matrix(d)[2:5, "HBA1_Homo_sapiens", drop=FALSE]
## ----HemoglobinTree,output.width='0.8\\textwidth',output.height='0.5\\textwidth',message=FALSE,results='hide'----
library(ape)
hemoTree <- nj(d)
plot(hemoTree, main="Phylogenetic Tree of Hemoglobin Alpha Sequences")
## ----Hemoglobin3-----------------------------------------------
hemoAln3 <- msaConvert(hemoAln, type="bios2mds::align")
str(hemoAln3)
## ----Hemoglobin4-----------------------------------------------
hemoAln4 <- as(hemoAln, "BStringSet")
hemoAln4
## ----ShowConsensusBottom,results="asis"------------------------
msaPrettyPrint(myFirstAlignment, output="asis", y=c(164, 213),
subset=c(1:6), showNames="none", showLogo="none",
consensusColor="ColdHot", showLegend=FALSE,
askForOverwrite=FALSE)
## ----ShowLogoDefault,results="asis"----------------------------
msaPrettyPrint(myFirstAlignment, output="asis", y=c(164, 213),
subset=c(1:6), showNames="none", showLogo="top",
logoColors="rasmol", shadingMode="similar",
showLegend=FALSE, askForOverwrite=FALSE)
## ----Shading1,results='asis'-----------------------------------
msaPrettyPrint(myFirstAlignment, output="asis", y=c(164, 213),
showNames="none", shadingMode="similar",
shadingColors="blues", showLogo="none",
showLegend=FALSE, askForOverwrite=FALSE)
## ----Shading2,results='asis'-----------------------------------
msaPrettyPrint(myFirstAlignment, output="asis", y=c(164, 213),
showNames="none", shadingMode="functional",
shadingModeArg="structure",
askForOverwrite=FALSE)
## ----ShowConsensusBottom2,results="asis"-----------------------
msaPrettyPrint(myFirstAlignment, output="asis", y=c(164, 213),
subset=c(1:6), showNames="none", showLogo="none",
consensusColor="ColdHot", showLegend=FALSE,
shadingMode="similar", askForOverwrite=FALSE,
furtherCode=c("\\defconsensus{.}{lower}{upper}",
"\\showruler{1}{top}"))
## ----SplitAlignmentIntoJunks,eval=FALSE------------------------
# chunkSize <- 300 ## how much fits on one page depends on the length of
# ## names and the number of sequences;
# ## change to what suits your needs
#
# for (start in seq(1, ncol(aln), by=chunkSize))
# {
# end <- min(start + chunkSize - 1, ncol(aln))
# alnPart <- DNAMultipleAlignment(subseq(unmasked(aln), start, end))
#
# msaPrettyPrint(x=alnPart, output="pdf", subset=NULL,
# file=paste0("aln_", start, "-", end, ".pdf"))
# }
## ----GetBibTeX,eval=FALSE--------------------------------------
# toBibtex(citation("msa"))
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