The MinHash Alignment Process (MHAP--pronounced MAP) is a
reference implementation of a probabilistic sequence overlapping
algorithm. Designed to efficiently detect all overlaps between noisy
long-read sequence data. It efficiently estimates Jaccard similarity
by compressing sequences to their representative fingerprints
composed on min-mers (minimum k-mer).
Installed Size: 196.6 kB
Architectures: all