Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space
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Indexing highly repetitive texts --- such as genomic databases, software repositories and versioned text collections --- has become an important problem since the turn of the millennium. A relevant compressibility measure for repetitive texts is r, the number of runs in their Burrows-Wheeler Transforms (BWTs). One of the earliest indexes for repetitive collections, the Run-Length FM-index, used O(r) space and was able to efficiently count the number of occurrences of a pattern of length m in the text (in loglogarithmic time per pattern symbol, with current techniques). However, it was unable to locate the positions of those occurrences efficiently within a space bounded in terms ofr. Since then, a number of other indexes with space bounded by other measures of repetitiveness --- the number of phrases in the Lempel-Ziv parse, the sizeof the smallest grammar generating (only) the text, the size of the smallest automaton recognizing the text factors --- have been proposed for efficiently locating,but not directly counting, the occurrences of a pattern. In this paper we close this long-standing problem, showing how to extend the Run-Length FM-index so that it can locate the occ occurrences efficiently within O(r) space (in loglogarithmic time each), and reaching optimal time O(m+occ) within O(r(n/r)) space, on a RAM machine with words of w=Ω( n) bits. Within O(r (n/r)) space, our index can also count in optimal time O(m).Raising the space to O(r w_σ(n/r)), we support count and locate in O( m(σ)/w) and O( m(σ)/w+occ) time, which is optimal in the packed setting and had not been obtained before in compressed space. We also describe a structure using O(r(n/r)) space that replaces the text and extracts any text substring ...
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