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A survey of mapping algorithms in the long-reads era
Speed up of genetic programming versions of Bowtie2 compared to hand
Jim Shaw on X: Me and @YunWilliamYu's work on local k-mer selection techniques is now accepted to Bioinformatics! We investigate both practically and theoretically the properties of different local k-mer selection techniques
Speed up of genetic programming versions of Bowtie2 compared to hand
Syncmers are more sensitive than minimizers for selecting
Parameterized syncmer schemes improve long-read mapping
Jim Shaw's research works University of Toronto, Toronto (U of T) and other places
A survey of mapping algorithms in the long-reads era
Seed uniqueness and time allocation in strobealign. A The expected
Strobealign: flexible seed size enables ultra-fast and accurate
a) Example of selecting minimizers with k = 3, w = 5, and the
Frontiers Temporal Combination Pattern Optimization Based on
Impact of percent sequence identity on mapping quality. We varied