Leverage the power of modern C++ to build robust and scalable applications
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Updated
Nov 1, 2020 - C++
Leverage the power of modern C++ to build robust and scalable applications
modular k-mer count matrix and Bloom filter construction for large read collections
High-speed Bloom filters and taffy filters for C, C++, and Java
A fast and space-efficient pre-filter for estimating the quantification of very large collections of nucleotide sequences
Benchmarking Bloom, Cuckoo, Morton, and PD based filter.
riblet is a command-line tool for efficiently diffing and syncing large sets, using Rateless Invertible Bloom Lookup Tables (RIBLT)
Some advanced data structures' implementations in C++
libbloom-x: C++/Python Wrapper for libbloom
A Bloom filter implementation.
Determine the rate of false set-overlap of Bloom filter intersection
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