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Correcting nucleotide-specific biases in high-throughput sequencing data.

Jeremy R WangBryan QuachTerrence S Furey
Published in: BMC bioinformatics (2017)
A general-purpose method to characterize and correct position-specific nucleotide sequence biases fills the need to recognize and deal with, in a systematic manner, binding-site preference for the growing number of HTS-based epigenetic assays. As the breadth and impact of these biases are better understood, the availability of a standard toolkit to correct them will be important.
Keyphrases
  • high throughput sequencing
  • dna methylation
  • gene expression
  • electronic health record
  • high throughput
  • big data
  • machine learning
  • amino acid