Abstract
Relative Lempel-Ziv (RLZ) is a popular algorithm for compressing databases of genomes from individuals of the same species when fast random access is desired. With Kuruppu et al.’s (SPIRE 2010) original implementation, a reference genome is selected and then the other genomes are greedily parsed into phrases exactly matching substrings of the reference. Deorowicz and Grabowski (Bioinformatics, 2011) pointed out that letting each phrase end with a mismatch character usually gives better compression because many of the differences between individuals’ genomes are single-nucleotide substitutions. Ferrada et al. (SPIRE 2014) then pointed out that also using relative pointers and run-length compressing them usually gives even better compression. In this paper we generalize Ferrada et al.’s idea to handle well also short insertions, deletions and multi-character substitutions. We show experimentally that our generalization achieves better compression than Ferrada et al.’s implementation with comparable random-access times.
Supported by the Academy of Finland through grants 258308, 268324, 284598 and 285221 and by the Wellcome Trust grant 098051. Parts of this work were done during the second author’s visit to the University of Helsinki and during the third author’s visits to Illumina Cambridge Ltd. and the University of A Coruña, Spain.
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Cox, A.J., Farruggia, A., Gagie, T., Puglisi, S.J., Sirén, J. (2016). RLZAP: Relative Lempel-Ziv with Adaptive Pointers. In: Inenaga, S., Sadakane, K., Sakai, T. (eds) String Processing and Information Retrieval. SPIRE 2016. Lecture Notes in Computer Science(), vol 9954. Springer, Cham. https://doi.org/10.1007/978-3-319-46049-9_1
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