Compressed full-text indexes
By Gonzalo Navarro, Veli Mäkinen. CSUR, 2007
773 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/df493d2feda5e3e96084bec640a3b956485d9d05
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Steven S. Skiena
- Guy E. Blelloch
- Julian Shun
- Julian Labeit
- William F. Smyth
- Andrew Turpin
- Simon J. Puglisi
- Computational Pan-Genomics Consortium
In Computational Theory and Mathematics
- Steven S. Skiena
- William F. Smyth
- Andrew Turpin
- Simon J. Puglisi
- Computational Pan-Genomics Consortium
- Louis H. Rowen
- Zur Izhakian
Citations in the corpus
- A taxonomy of suffix array construction algorithms (2007, methodology): “For example, algorithms and techniques such as those discussed in [Grossi and Vitter 2005; Mäkinen and Navarro 2006] and references therein are not covered.”
- Parallel Lightweight Wavelet Tree, Suffix Array and FM-Index Construction (2016, background): “In recent years, compressed full-text indexes [23] have become popular as they provide an elegant way of compressing data while at the same time supporting queries on it efficiently.”
- The Algorithm Design Manual (2020, background): “Navarro and Raffinot [NR07] is the best reference on these techniques, which are also treated in other books on string algorithmics [CHL07, Gus97].”
- Computational pan-genomics: status, promises and challenges (2016, background): “Efficient data structures for prefix sum, rank and select queries exist [97], which can be used for doing projections to and from a sequence and its gapped version as a row of an MSA.”