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Effects of sample age on data quality from targeted sequencing of museum specimens: what are we capturing in time?

Angela McGaughran
Published in: BMC genomics (2020)
Sample age has significant, measurable impacts on the quality of NGS data following targeted enrichment. However, incorporating a uracil-removing enzyme into the blunt end-repair step during library preparation could help to repair DNA damage, and using a method that prevents adapter-dimer formation may result in improved data yields.
Keyphrases
  • dna damage
  • electronic health record
  • big data
  • cancer therapy
  • oxidative stress
  • drug delivery
  • mouse model
  • mass spectrometry