High-throughput quality assessment of sequencing data (student project)

The aim of this project was to provide key summary statistics from whole genome DNA resequencing data-sets to assess quality, and to develop methods to quickly identify sub-par samples within a large population.
Identify and implement summary metrics that can be used to describe the quality a sample:

  • mean read coverage?
  • Classify good from bad samples by selecting good separating metrics
  • Report and visualize selected metrics across large sequencing collections

Share this post