The St. Louis-based firm will offer a sequencing service to help researchers separate target signals from errors made during next-generation sequencing.
The license contains a new method and bioinformatic tools that improve detection in next-generation sequencing to help researchers identify rare gene variants.
Results from a recent study suggest that considering nearby variants can improve the accuracy of neoantigen selection, resulting in better personalized vaccines for patients.
GWAS summary statistics data led to three main loci with ties to both Alzheimer's and cardiovascular disease, with additional enrichment at lipid-related sites.
The solution uses machine learning to pare down somatic variant lists, simplifying the task of manually reviewing the output of sequence analysis pipelines.
Individuals with higher-than-usual mutant allele frequencies after stem cell transplantation were prone to disease progression and reduced progression-free survival.
