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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