We first load the alpineData
package:
library(alpineData)
This package contains the following four GAlignmentPairs objects. We can access these directly with named functions:
ERR188297() ERR188088() ERR188204() ERR188317()
Or we can access them using the ExperimentHub interface:
eh <- ExperimentHub() query(eh, "ERR188") eh[["EH166"]]
For details on the source of these files, and on their construction
see ?alpineData
and the scripts:
inst/scripts/make-metadata.R
inst/scripts/make-data.Rmd
We can take a quick look at the paired alignments from one file. For example their distribution on the different chromosomes:
library(GenomicAlignments) gap <- ERR188297() barplot(sort(table(seqnames(gap))[1:25], decreasing=TRUE), las=3, main="Distribution of reads")
Histograms of read starts for the first read on chromosome 1:
gap1 <- gap[seqnames(gap) == "1"] starts <- start(first(gap1)) par(mfrow=c(2,2)) hist(starts,col="grey")
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