Status validating identity

In many cancer genome projects, tumor and matched normal genomes as well as their transcriptomes are sequenced for each patient to discover somatic mutations and their impact on gene expression.Other common situations include comparison of replicate experiments or merging of data from multiple lanes of a sequencer.The Cancer Genome Atlas (TCGA) uses a polymerase chain reaction-based assay to verify whether cancer and normal samples are derived from the same patient, targeting a handful of STRs from the CODIS database that are highly polymorphic among the human population (1).However, it is not feasible to genotype these CODIS STRs directly from sequencing data, especially whole-exome (WES) or RNA-seq data, because most of the STRs are located in non-coding regions or are longer than typical sequencing reads.Once a sample is found to have been mislabeled, data for that sample must be corrected or withdrawn.

We recommend using this software as a QC step in NGS studies.Our latest version includes standardized plug-ins to allow any biometric recognition technology to be integrated into the process at all key passenger touchpoints, including check-in, bag drop, kiosks, security points and boarding gates.We ensure you’re compliant with existing American Evaluation Association (AEA) standards out-of-the box to ease system integration with compliant hardware.Data from each touchpoint can be collated to provide real-time updates on the status of each passenger, offering early identity of potential loading issues to airlines while providing location information to the airport.