A Faster Grammar-Based Self-Index

Computer Science – Data Structures and Algorithms

Scientific paper

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Accepted to LATA '12

Scientific paper

To store and search genomic databases efficiently, researchers have recently started building compressed self-indexes based on straight-line programs and LZ77. In this paper we show how, given a balanced straight-line program for a string (S [1..n]) whose LZ77 parse consists of $z$ phrases, we can add $\Oh{z \log \log z}$ words and obtain a compressed self-index for $S$ such that, given a pattern (P [1..m]), we can list the $\occ$ occurrences of $P$ in $S$ in $\Oh{m^2 + (m + \occ) \log \log n}$ time. All previous self-indexes are either larger or slower in the worst case.

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