Schmidt S., Khan S., Alanko J. N., Pibiri G. E., Tomescu A. I.
k-mer sets Plain text compression Graph algorithm Sequence analysis Genomic sequences Minimum-cost flow Chinese postman problem
We propose a polynomial algorithm computing a minimum plain-text representation of k-mer sets, as well as an efficient near-minimum greedy heuristic. When compressing read sets of large model organisms or bacterial pangenomes, with only a minor runtime increase, we shrink the representation by up to 59% over unitigs and 26% over previous work. Additionally, the number of strings is decreased by up to 97% over unitigs and 90% over previous work. Finally, a small representation has advantages in downstream applications, as it speeds up SSHash-Lite queries by up to 4.26× over unitigs and 2.10× over previous work.
Source: Genome biology (Online) 24 (2023). doi:10.1186/s13059-023-02968-z
Publisher: BioMed Central Ltd., London , Regno Unito
@article{oai:it.cnr:prodotti:484067, title = {Matchtigs: minimum plain text representation of k-mer sets}, author = {Schmidt S. and Khan S. and Alanko J. N. and Pibiri G. E. and Tomescu A. I.}, publisher = {BioMed Central Ltd., London , Regno Unito}, doi = {10.1186/s13059-023-02968-z}, journal = {Genome biology (Online)}, volume = {24}, year = {2023} }
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