A surprising outcome of the research is a dismissal of the idea of discrete transcriptome subtypes for this cancer, and replacement by a model of...
Read More »Single Cell RNA-Seq brings scientists closer to finding the cell of origin for ovarian cancer
Researchers at the University of Oxford are now closer to finding the cell of origin of ovarian cancer, and their ultimate aim of developing a much...
Read More »VaDiR – an integrated approach to variant detection in RNA
Advances in next-generation DNA sequencing technologies are now enabling detailed characterization of sequence variations in cancer genomes. With whole genome sequencing...
Read More »Integrated sequence and expression analysis of ovarian cancer structural variants underscores the importance of gene fusion regulation
Researchers from Georgia Tech have recently published a study on ovarian cancer using whole genome sequence (control + tumor), RNA-Seq and microarray gene expression chip data from the same patients. Data was acquired from TCGA. The paper titles: “Integrated sequence and ...
Read More »Custom bioinformatics algorithm mines RNA-Seq data to identify transcripts that distinguish ovarian cancer cells from normal cells and provide new therapeutic targets
Ovarian cancer is notoriously difficult to diagnose and treat, making it an especially fatal disease. Researchers at University of California, San Diego School of Medicine and Moores Cancer Center have now identified six mRNA isoforms (bits of genetic material) produced ...
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