Theory of local k-mer selection with applications to long-read
Density factor for the Miniception when w % ðx À 1Þk and k ¼ 2500
Parameterized syncmer schemes improve long-read mapping
Advances in nature-inspired metaheuristic optimization for feature
Jared Simpson (@jaredtsimpson) / X
Sequence-specific minimizers via polar sets
PDF) Theory of local k-mer selection with applications to long
Using syncmers improves long-read mapping
Jim Shaw's research works University of Toronto, Toronto (U of T
Memory usage and runtime vs. compression-Real data. (A,B) Runtime
An example of running the Miniception in a window. The k 0 -mers
Visual example of the minimizer and open syncmer selection methods