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RepViz: a replicate-driven R tool for visualizing genomic regions.

Thomas FauxKalle T RytkönenAsta LaihoLaura L Elo
Published in: BMC research notes (2019)
We present an R package RepViz for replicate-driven visualization of genomic regions. With ChIP-seq and ATAC-seq data we demonstrate its potential to aid visual inspection involved in the evaluation of normalization, outlier behavior, detected features from differential peak calling analysis, and combined analysis of multiple data types. RepViz is readily available on Bioconductor ( https://www.bioconductor.org/packages/devel/bioc/html/RepViz.html ) and on Github ( https://github.com/elolab/RepViz ).
Keyphrases
  • electronic health record
  • genome wide
  • single cell
  • rna seq
  • copy number
  • big data
  • high throughput
  • circulating tumor cells
  • machine learning
  • dna methylation
  • gene expression
  • artificial intelligence
  • single molecule