Take ChIP-seq and motifs and detect Binding sites. It also combines/compares binding sites across experiments. Here is a synthetic example of differential Fur binding sites in E.coli:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | # FUR candidate motifs in NC_000913 E. coli
FurMotifs=system.file("extdata", "FurMotifs.bed", package="Motif2Site")
# ChIP-seq datasets fe in bed single end format
IPFe <- c(system.file("extdata", "FUR_fe1.bed", package="Motif2Site"),
system.file("extdata", "FUR_fe2.bed", package="Motif2Site"))
Inputs <- c(system.file("extdata", "Input1.bed", package="Motif2Site"),
system.file("extdata", "Input2.bed", package="Motif2Site"))
FURfeBedInputStats <-
DetectBindingSitesBed(BedFile=FurMotifs,
IPfiles=IPFe,
BackgroundFiles=Inputs,
genome="Ecoli",
genomeBuild="20080805",
DB="NCBI",
expName="FUR_Fe_BedInput",
format="BEDSE"
)
# ChIP-seq datasets dpd in bed single end format
IPDpd <- c(system.file("extdata", "FUR_dpd1.bed", package="Motif2Site"),
system.file("extdata", "FUR_dpd2.bed", package="Motif2Site"))
FURdpdBedInputStats <-
DetectBindingSitesBed(BedFile=FurMotifs,
IPfiles=IPDpd,
BackgroundFiles=Inputs,
genome="Ecoli",
genomeBuild="20080805",
DB="NCBI",
expName="FUR_Dpd_BedInput",
format="BEDSE"
)
# Combine all FUR binding sites into one table
corMAT <- recenterBindingSitesAcrossExperiments(
expLocations=c("FUR_Fe_BedInput","FUR_Dpd_BedInput"),
experimentNames=c("FUR_Fe","FUR_Dpd"),
expName="combinedFUR",
)
corMAT
# Differential binding sites across FUR conditions fe vs dpd
diffFUR <- pairwisDifferential(tableOfCountsDir="combinedFUR",
exp1="FUR_Fe",
exp2="FUR_Dpd",
FDRcutoff=0.05,
logFCcuttoff=1
)
FeUp <- diffFUR[[1]]
DpdUp <- diffFUR[[2]]
TotalComparison <- diffFUR[[3]]
head(TotalComparison)
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