A Randomized Optimal k-mer Indexing Approach for Efficient Parallel Genome Sequence Compression
Description
Next Generation Sequencing (NGS) technology generates massive amounts of genome sequence that increases rapidly over time. As a result, there is a growing need for efficient compression algorithms to facilitate the processing, storage, transmission
