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20152021
most citedComposite repetition-aware data structures

13 citations · 26 across the 10 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.DS2018

Optimal Rank and Select Queries on Dictionary-Compressed Text

Nicola Prezza

We study the problem of supporting queries on a string of length within a space bounded by the size of a string attractor for . Recent works showed that random acces…

cs.DS2018

Optimal-Time Dictionary-Compressed Indexes

Anders Roy Christiansen, Mikko Berggren Ettienne, Tomasz Kociumaka +2

We describe the first self-indexes able to count and locate pattern occurrences in optimal time within a space bounded by the size of the most popular dictionary compressors. To ac…

cs.DS2018

Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space

Travis Gagie, Gonzalo Navarro, Nicola Prezza

Indexing highly repetitive texts - such as genomic databases, software repositories and versioned text collections - has become an important problem since the turn of the millenniu…

cs.DS2018

Detecting Mutations by eBWT

Nicola Prezza, Nadia Pisanti, Marinella Sciortino +1

In this paper we develop a theory describing how the extended Burrows-Wheeler Transform (eBWT) of a collection of DNA fragments tends to cluster together the copies of nucleotides…

cs.DS2018

String Attractors: Verification and Optimization

Dominik Kempa, Alberto Policriti, Nicola Prezza +1

String attractors [STOC 2018] are combinatorial objects recently introduced to unify all known dictionary compression techniques in a single theory. A set is a…

cs.DS2018

Universal Compressed Text Indexing

Gonzalo Navarro, Nicola Prezza

The rise of repetitive datasets has lately generated a lot of interest in compressed self-indexes based on dictionary compression, a rich and heterogeneous family that exploits tex…