News
Transcriptome Analysis Provides Genomic Insight into Emu Fat Metabolism
Understanding gene expression in emu fat tissue could improve production of emu oil and increase its potential health benefits.
Constructing novel next-generation physical maps using Physlr
Researchers from the GSC’s Birol lab have developed a tool capable of generating next-generation physical maps from whole-genome sequencing (WGS) data.
Addressing challenges associated with genome analysis when nucleic acids are extracted from formalin-fixed paraffin-embedded tissue samples
Somatic variant calling from formalin-fixed paraffin-embedded (FFPE) genome sequencing data can be improved using computational and machine learning approaches.
Whole Genome and Transcriptome Analysis Benefits Clinical Cancer Care
A prospective study of 570 Personalized OncoGenomic (POG) patients demonstrates how whole genome and transcriptome analysis can impact cancer treatment.
Unique repressive chromatin state to myelo-erythroid lineage is linked to regulation of blood cell differentiation
Lineage-selective genome-wide repressive histone modification signature unique to myelo/erythroid lineage involved in hematopoietic differentiation.
Looking at the genomic features of lung-recurrent, hormone-sensitive prostate cancer
The GSC’s Dr. Alexander Wyatt Lab assesses the genomic features of lung-recurrent, hormone-sensitive prostate cancer.
Genomic Analysis of Adrenocortical Cancer Identifies Treatment Targets
Results of whole-genome and transcriptome analysis identifies two genomic targets for potential treatment of adrenocortical cancer, a rare disease with limited therapeutic options.
Genome polishing: ntEdit+Sealer produces high quality long-read genome assemblies as a genome finishing protocol
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.
Predicting Patient Response to Cancer Immunotherapy with Neoantigens
A study from the Karsan lab concludes that predicting patient response to immunotherapy is not improved using tumour neoantigen counts from noncoding DNA.
Canada’s Michael Smith Genome Sciences Centre respectfully acknowledges that we operate on the traditional, ancestral and unceded territories of the xʷməθkwəy̓əm (Musqueam), Səl̓ílwətaʔ/Selilwitulh (Tsleil-Waututh), and Skwxwú7mesh (Squamish) nations who have cared and nurtured this land for all time. We give thanks, as uninvited guests, to be able to live and work on these lands.
