Visual example of the minimizer and open syncmer selection methods

Comparison of five supervised feature selection algorithms leading

Jim Shaw's research works University of Toronto, Toronto (U of T

Memory usage and runtime vs. compression-Real data. (A,B) Runtime

a) Example of selecting minimizers with k = 3, w = 5, and the

Navigating bottlenecks and trade-offs in genomic data analysis

PDF) Differentiable Learning of Sequence-Specific Minimizer

39885 PDFs Review articles in DNA SEQUENCE ANALYSIS

A systematic review of emerging feature selection optimization

Alignment concordance results for a subset of of 4 million paired

Speed up of genetic programming versions of Bowtie2 compared to

Parameterized syncmer schemes improve long-read mapping

Parameterized syncmer schemes improve long-read mapping

Jim Shaw's research works University of Toronto, Toronto (U of T