Next-generation sequencing (NGS) revolutionizes DNA research with its speed, volume and costs advantages, propelling personalized medicine. However, inaccurate NGS data can result in misdiagnosis, ineffective treatment, and flawed research. Rigorous quality control is essential.

This white paper, authored by Carolina Castaneda, an engineer at Qualitest Mexico City and PhD in Cancer Research, offers a comprehensive overview of NGS technologies. It details how to implement rigorous data quality control (QC) from the initial research stages throughout the entire workflow, advocating for a shift-left, continuous approach.

Key Takeaways:

  • The triumphs and challenges in the evolution of NGS
  • The stages and steps in NGS QC
  • The dynamic role of QC tool selection
  • Sources of sequencing errors
  • Quality scores

Meet the author – Carolina Castaneda

Carolina Castañeda-Garcia is a team lead in Reliability Engineering at Qualitest Mexico City, supporting Google. Prior to joining Qualitest in 2022, she was a research data analyst at the International Laboratory for Human Genome Research in Querétaro and previously held other positions in research, engineering and higher education.