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A (fire)cloud-based DNA methylation data preprocessing and quality control platform.

Divy KangeyanAndrew DunfordSowmya IyerChip StewartMegan HannaGad GetzMartin J Aryee
Published in: BMC bioinformatics (2019)
The workflows produce data quality metrics, visualization tracks, and aggregated output for further downstream analysis. Optional use of cloud computing resources facilitates analysis of large datasets, and integration with existing methylome profiles. The workflow design principles are applicable to other genomic data types.
Keyphrases
  • electronic health record
  • quality control
  • dna methylation
  • big data
  • gene expression
  • machine learning
  • copy number
  • quality improvement