Previous Next

Whole Genome Sequencing (WGS) Quality Control (QC) Standards

Describes a set of quality control metrics and their detailed definitions to facilitate exchange of results across initiatives

SummaryBenefitsTarget usersAnnouncements

WGS Quality Control Standards describes a set of key quality control metrics and their detailed definitions that can be used as the basis for standardised guidelines for reporting quality control metrics for whole genome sequencing (WGS). Creating a common framework for QC of WGS results is needed to ensure that data generation adheres to published guidelines, and in turn, establishes confidence in the data quality and facilitates the exchange of results across initiatives.

Video credit - 
Watch an overview of this product.

Benefits

  • Improved understanding of how metrics are calculated leading to accurate interpretation and comparison of results
  • Directly comparable QC results and assertion of data processing pipeline and workflow functional equivalence
  • Mitigate the need to re-do analysis on shared samples

Target users

Researchers, clinical laboratories, data generators, data custodians, and research institutes

USE THIS PRODUCT GIVE FEEDBACK GET INVOLVED
Product Leads
  • Nicolas Bertin
  • Justin Jeyakani
  • Linda Xiang
Staff Contact
GitHub
GitHub
Community Engagement
Active Engagement

News, events, and more

Catch up with all news and articles associated with Whole Genome Sequencing (WGS) Quality Control (QC) Standards.

See all related news