NIH Researchers Create Algorithm to Detect Somatic Structural Variation in Cancer Genomes Using Long-Read Sequencing
NCI Center for Cancer Research shared a post on LinkedIn about a recent article by Ayse G. Keskus et al. published in Nature Biotechnology:
“Somatic structural variation (SV) is a process that can insert, delete or rearrange genomic sequences longer than 50 base pairs; this complex phenomenon is a hallmark of cancer. Although long-read sequencing is advantageous over short-read sequencing to look at and find these variations, many long-read methods are not developed for the analysis of tumor genomes characterized by complex rearrangements and heterogeneity.
A team led by NIH researchers at the Center for Cancer Research created Severus, an algorithm designed for this purpose. In this paper, they discuss the program’s capabilities and potential.”
Title: Severus detects somatic structural variation and complex rearrangements in cancer genomes using long-read sequencing
Authors: Ayse G. Keskus, Asher Bryant, Tanveer Ahmad, Byunggil Yoo, Sergey Aganezov, Anton Goretsky, Ataberk Donmez, Lisa A. Lansdon, Isabel Rodriguez, Jimin Park, Yuelin Liu, Xiwen Cui, Joshua Gardner, Brandy McNulty, Samuel Sacco, Jyoti Shetty, Yongmei Zhao, Bao Tran, Giuseppe Narzisi, Adrienne Helland, Daniel E. Cook, Pi-Chuan Chang, Alexey Kolesnikov, Andrew Carroll, Erin K. Molloy, Chengpeng Bi, Adam Walter, Margaret Gibson, Irina Pushel, Erin Guest, Tomi Pastinen, Kishwar Shafin, Karen H. Miga, Salem Malikic, Chi-Ping Day, Nicolas Robine, Cenk Sahinalp, Michael Dean, Midhat S. Farooqi, Benedict Paten, Mikhail Kolmogorov
Read the Full Article on Nature Biotechnology
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