PMC:4375429 / 2713-3762 JSONTXT

{"project":"2_test","denotations":[{"id":"25748353-11731797-2053667","span":{"begin":61,"end":62},"obj":"11731797"},{"id":"25748353-8651312-2053668","span":{"begin":283,"end":284},"obj":"8651312"},{"id":"25748353-9736776-2053669","span":{"begin":621,"end":622},"obj":"9736776"}],"text":"Soon after, I worked on a method for rapid pedigree analysis,2 which Mike described charitably in his introduction. As I reminisce on this work, I would like to share two impressions with you. First, it is clear that I was greatly aided by Leonid Krulyak and Mark Daly’s earlier work3 on GeneHunter. (Mark is the 2014 co-recipient of the Curt Stern Award.) Their work served me as a useful guide and reference, allowing me to validate implementations of my new method and sparing me many sleepless nights. Second, I noticed an evaluation we’d carried out with a 10-SNP dataset generated by Bernard Keavney and colleagues.4 At the time, our new very fast and memory-efficient approach enabled analyses of that dataset to be completed in ∼40 s. That might have been an advance then, but it also represents a level of performance that is unacceptable now that datasets can include information on millions of genetic markers. Time will continue to put our best computational approaches to the test and demand that we continually improve or replace them."}