| segexample | R Documentation |
Segmented log ratio data for 5 breast cancer genomes, derived using Representational Oligonucleotide Microarray Analysis (ROMA) platform. ROMA detects genomic amplifications and deletions with boundaries defined at a resolution of 50 kb. In this segmented table, each row represents a segment.
data(segexample)
a data.frame with 479 rows/segments and 12
columns/variables:
ID a character vector of profile IDs
start a numeric vector (segment start
probe number)
end a numeric vector (segment end
probe number)
num.probes a numeric vector (number of probes
in the segment)
seg.median a numeric vector (median log ratio)
chrom a numeric vector (chromosome number)
chrom.pos.start a numeric vector (genomic
start)
chrom.pos.end a numeric vector (genomic end)
cytoband.start a character vector
(cytogenetic band start)
cytoband.end a character vector (cytogenetic
band end)
abs.pos.start a numeric vector (genomic
start, absolute)
abs.pos.end a numeric vector (genomic
end, absolute)
Segment medians are computed from log copy number ratio. The
corresponding raw data table is ratexample in this package.
a data.frame with 479 rows/segments and 12 columns/variables:
ID a character vector of profile IDs
start a numeric vector (segment start
probe number)
end a numeric vector (segment end
probe number)
num.probes a numeric vector (number of probes
in the segment)
seg.median a numeric vector (median log ratio)
chrom a numeric vector (chromosome number)
chrom.pos.start a numeric vector (genomic
start)
chrom.pos.end a numeric vector (genomic end)
cytoband.start a character vector
(cytogenetic band start)
cytoband.end a character vector (cytogenetic
band end)
abs.pos.start a numeric vector (genomic
start, absolute)
abs.pos.end a numeric vector (genomic
end, absolute)
Hicks, J. et al. Novel patterns of genome rearrangement and their association with survival in breast cancer. Genome Res. 2006. 16:1465–1479. doi: 10.1101/gr.5460106
CNpreprocessing for pre-process DNA copy number (CN)
data for detection of CN events.
applyCNPmask for applying a mask to a table of
copy number events.
## Loading log ratio dataset
data(segexample)
## Load datasets
data(segexample)
data(ratexample)
data(normsegs)
## Preprocess segments for WZ2 sample
segtable <- CNpreprocessing(segall=segexample[segexample[,"ID"] == "WZ2",],
ratall = ratexample, idCol = "ID", startCol = "start",
endCol = "end", chromCol = "chrom",
bpStartCol = "chrom.pos.start",
bpEndCol = "chrom.pos.end", blsize = 50,
minJoin = 0.25, cWeight = 0.4,
bsTimes = 30, chromRange = 1:22, nJobs = 1,
modelNames = "E", normalLength = normsegs[,1],
normalMedian = normsegs[,2])
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