AACR 2026 | 2026
Zev Kronenberg1, Khi Pin Chua1, Mark J.P. Chaisson2,7, Byunggil Yoo3, Lisa Lansdon3, William J. Rowell1, Guilherme de Sena Brandine1, Egor Dolzhenko1, Kobe Ikegami6, Kie Kyon Huang4, Patrick Tan4,5,10, Shruti Bhise6, Everett Fan6, Mark Mendoza6, Emily O’Donnell3, Tomi Pastinen3, Elizabeth R. Lawlor6,8,9, Scott N. Furlan6,9, Midhat S. Farooqi3, Michael A. Eberle1 1) PacBio, Menlo Park, CA, USA; 2) University of Southern California, Los Angeles, CA, USA; 3) Children’s Mercy Hospital, University of Missouri–Kansas City School of Medicine, Kansas City, MO, USA; 4) Duke-NUS Medical School, Singapore; 5) Genome Institute of Singapore; 6) Fred Hutch Cancer Center, Seattle, WA, USA; 7) Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA; 8) Ben Towne Center for Childhood Cancer and Blood Disorders Research, Seattle Children’s Research Institute, Seattle, WA, USA; 9) Department of Pediatrics, University of Washington, Seattle, WA, USA; 10) Precision Health Research Singapore
Microsatellite instability (MSI) is a key biomarker of mismatch repair deficiency and response to immunotherapy, yet most existing genomic detection methods are optimized for short-read sequencing and rely on small panels of homopolymer markers, limiting the ability to characterize genome-wide and motif-specific patterns of instability. Here we present Owl, a bioinformatic tool for quantifying MSI from PacBio HiFi whole- genome data.