IMAGE: Example of colored de Bruijn graph rendered to represent genomic data for a short region of 400 base pairs using the Lancet genomics tool developed by New York Genome Center… view more
Credit: New York Genome Center
NEW YORK, NY (March 22, 2018) — A new computational method developed by researchers at the New York Genome Center (NYGC) allows scientists to identify rare gene mutations in cancer cells with greater accuracy and sensitivity than currently available approaches.
The technique, reported in today’s Communications Biology from Nature Research publishing, is called Lancet and represents a major advance in the identification of tumor cell mutations, a process known as somatic variant calling.
“With its unique ability to jointly analyze the whole genome of tumor and matched normal cells, Lancet provides a useful tool for researchers to conduct more accurate genome-wide somatic variant calling,” notes first author Giuseppe Narzisi, PhD, Senior Bioinformatics Scientist, NYGC.
“Reliable detection of somatic variations is of critical importance in cancer research and increasingly in the clinical setting, where identification of somatic mutations forms the basis for personalized medicine,” said Michael Zody, PhD, Senior Director, Computational Biology, NYGC, and senior author of the study. “Lancet will be
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