Computer Science – Data Structures and Algorithms
Scientific paper
2011-01-21
Computer Science
Data Structures and Algorithms
Scientific paper
We introduce the first self-index based on the Lempel-Ziv 1977 compression format (LZ77). It is particularly competitive for highly repetitive text collections such as sequence databases of genomes of related species, software repositories, versioned document collections, and temporal text databases. Such collections are extremely compressible but classical self-indexes fail to capture that source of compressibility. Our self-index takes in practice a few times the space of the text compressed with LZ77 (as little as 2.6 times), extracts 1--2 million characters of the text per second, and finds patterns at a rate of 10--50 microseconds per occurrence. It is smaller (up to one half) than the best current self-index for repetitive collections, and faster in many cases.
Kreft Sebastian
Navarro Gonzalo
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