Researchers from the GSC’s Birol lab have developed a tool capable of generating next-generation physical maps from whole-genome sequencing (WGS) data.
Somatic variant calling from formalin-fixed paraffin-embedded (FFPE) genome sequencing data can be improved using computational and machine learning approaches.
A prospective study of 570 Personalized OncoGenomic (POG) patients demonstrates how whole genome and transcriptome analysis can impact cancer treatment.
Lineage-selective genome-wide repressive histone modification signature unique to myelo/erythroid lineage involved in hematopoietic differentiation.
The GSC’s Dr. Alexander Wyatt Lab assesses the genomic features of lung-recurrent, hormone-sensitive prostate cancer.
Results of whole-genome and transcriptome analysis identifies two genomic targets for potential treatment of adrenocortical cancer, a rare disease with limited therapeutic options.
The Birol Lab publishes ntEdit+Sealer, an alignment-free genome finishing protocol that corrects sequencing errors and fills gaps to produce highly accurate long-read genome assemblies.
A study from the Karsan lab concludes that predicting patient response to immunotherapy is not improved using tumour neoantigen counts from noncoding DNA.
Dr. Ryan Morin’s laboratory publishes a recent study assessing the genomic features of canine B-cell lymphoma and highlights differences in human B-cell lymphoma.