Data on HIV integration sites from several studies
A dataset containing data from a meta-analysis looking for differences between active and inactive HIV integrations. Each row represents a provirus integrated somewhere in a human chromosome with whether viral expression was detectd, the distance to the nearest gene and the number of reads from H4K12ac ChIP-Seq mapped to within 50,000 bases of the integration.
integrations
A data frame with 12436 rows and 4 variables:
the cell population infected by HIV
whether the provirus was active (expressed) or inactive (latent)
distance to nearest gene (transcription unit) (0 if in a gene)
number of reads aligned within +- 50,000 bases in a H4K12ac ChIP-Seq
http://www.retrovirology.com/content/10/1/90/additional, system.file("data-raw", "makeIntegrations.R", package = "vipor")
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