Data Integration and Quality Control

Data integration and quality control are key to all projects. We have known this from our previous projects, in which we have spent huge amount of time to develop and evaluate quality control metrics, filters, uniformity, and standards compliance, both at the sample level as well as for the end results.

Our extensive QC analysis can detect contamination, unexpected distributions, and advanced quality analysis for sequencing, variant detection (SNV, INDELs, and CNVs), multi-omic relationships and biomarker signatures.