4.8 (569) In stock
Jim Shaw on X: Me and @YunWilliamYu's work on local k-mer
Theory of local k-mer selection with applications to long-read
Speed and percentage speed up of each Bowtie2 variant on GCAT
The minimizer Jaccard estimator is biased and inconsistent
Visual example of the minimizer and open syncmer selection methods
Using syncmers improves long-read mapping
Navigating bottlenecks and trade-offs in genomic data analysis
Parameterized syncmer schemes improve long-read mapping
Jim Shaw's research works University of Toronto, Toronto (U of T
a) Example of selecting minimizers with k = 3, w = 5, and the
Strobealign: flexible seed size enables ultra-fast and accurate
Sequence-specific minimizers via polar sets
Jim Shaw's research works University of Toronto, Toronto (U of T