Search results for "Burrows-Wheeler transform"

showing 10 items of 22 documents

The colored longest common prefix array computed via sequential scans

2018

Due to the increased availability of large datasets of biological sequences, the tools for sequence comparison are now relying on efficient alignment-free approaches to a greater extent. Most of the alignment-free approaches require the computation of statistics of the sequences in the dataset. Such computations become impractical in internal memory when very large collections of long sequences are considered. In this paper, we present a new conceptual data structure, the colored longest common prefix array (cLCP), that allows to efficiently tackle several problems with an alignment-free approach. In fact, we show that such a data structure can be computed via sequential scans in semi-exter…

0301 basic medicineFOS: Computer and information sciencesAlignment-free methodsBurrows–Wheeler transformComputer scienceComputationAverage common substring0206 medical engineeringMatching statisticsScale (descriptive set theory)02 engineering and technologyTheoretical Computer Science03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Burrows-wheeler transformString (computer science)Computer Science (all)LCP arrayMatching statisticData structureSubstring030104 developmental biologyAlignment-free methods; Average common substring; Burrows-wheeler transform; Longest common prefix; Matching statistics; Theoretical Computer Science; Computer Science (all)Pairwise comparisonLongest common prefixAlgorithm020602 bioinformaticsAlignment-free method
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The Myriad Virtues of Wavelet Trees

2009

Wavelet Trees have been introduced in [Grossi, Gupta and Vitter, SODA '03] and have been rapidly recognized as a very flexible tool for the design of compressed full-text indexes and data compressors. Although several papers have investigated the beauty and usefulness of this data structure in the full-text indexing scenario, its impact on data compression has not been fully explored. In this paper we provide a complete theoretical analysis of a wide class of compression algorithms based on Wavelet Trees. We also show how to improve their asymptotic performance by introducing a novel framework, called Generalized Wavelet Trees, that aims for the best combination of binary compressors (like,…

Binary treeWeight-balanced treeWavelet transformCascade algorithmData_CODINGANDINFORMATIONTHEORYHuffman codingData CompressionTheoretical Computer ScienceComputer Science ApplicationsSet partitioning in hierarchical treessymbols.namesakeWaveletComputational Theory and Mathematicssymbolsempirical entropyBurrows-Wheeler TransformAlgorithmData compressionMathematicsInformation SystemsWavelet Trees
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Burrows-Wheeler transform and palindromic richness

2009

AbstractThe investigation of the extremal case of the Burrows–Wheeler transform leads to study the words w over an ordered alphabet A={a1,a2,…,ak}, with a1<a2<⋯<ak, such that bwt(w) is of the form aknkak−1nk−1⋯a2n2a1n1, for some non-negative integers n1,n2,…,nk. A characterization of these words in the case |A|=2 has been given in [Sabrina Mantaci, Antonio Restivo, Marinella Sciortino, Burrows-Wheeler transform and Sturmian words, Information Processing Letters 86 (2003) 241–246], where it is proved that they correspond to the powers of conjugates of standard words. The case |A|=3 has been settled in [Jamie Simpson, Simon J. Puglisi, Words with simple Burrows-Wheeler transforms, Electronic …

Combinatorics on wordsGeneral Computer ScienceBurrows–Wheeler transformSettore INF/01 - InformaticaRich wordsPalindromeBurrows-Wheeler transformTheoretical Computer ScienceCombinatoricsRich wordBurrows-Wheeler transform; Palindromes; Rich words; Combinatorics on wordsPalindromePalindromesSpecies richnessAlphabetArithmeticBurrows–Wheeler transformComputer Science(all)MathematicsCombinatorics on word
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Balanced Words Having Simple Burrows-Wheeler Transform

2009

The investigation of the "clustering effect" of the Burrows-Wheeler transform (BWT) leads to study the words having simple BWT , i.e. words w over an ordered alphabet $A=\{a_1,a_2,\ldots,a_k\}$, with $a_1 < a_2 < \ldots <a_k$, such that $bwt(w)$ is of the form $a_k^{n_k} a_{k-1}^{n_{k-1}} \cdots a_1^{n_1}$, for some non-negative integers $n_1, n_2, \ldots, n_k$. We remark that, in the case of binary alphabets, there is an equivalence between words having simple BWT, the family of (circular) balanced words and the conjugates of standard words. In the case of alphabets of size greater than two, there is no more equivalence between these notions. As a main result of this paper we prove that, u…

CombinatoricsConjugacy classClustering effectBurrows–Wheeler transformSettore INF/01 - InformaticaBurrows Wheeler Transform Combinatorics on Words Balanced sequences epistandard rich words words having simple BWTBinary numberBurrows-Wheeler TransformAlphabetBinary alphabetBurrows-Wheeler Transform; Clustering effectMathematics
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On fixed points of the Burrows-Wheeler transform

2017

The Burrows-Wheeler Transform is a well known transformation widely used in Data Compression: important competitive compression software, such as Bzip (cf. [1]) and Szip (cf. [2]) and some indexing software, like the FM-index (cf. [3]), are deeply based on the Burrows Wheeler Transform. The main advantage of using BWT for data compression consists in its feature of "clustering" together equal characters. In this paper we show the existence of fixed points of BWT, i.e., words on which BWT has no effect. We show a characterization of the permutations associated to BWT of fixed points and we give the explicit form of fixed points on a binary ordered alphabet a, b having at most four b's and th…

Discrete mathematicsAlgebra and Number TheoryBurrows–Wheeler transformSettore INF/01 - InformaticaPermutationPermutations0102 computer and information sciences02 engineering and technologyInformation SystemFixed point01 natural sciencesTheoretical Computer ScienceComputational Theory and Mathematics010201 computation theory & mathematicsFixed PointFixed Points0202 electrical engineering electronic engineering information engineeringBurrows-Wheeler Transform; Fixed Points; Permutations; Theoretical Computer Science; Algebra and Number Theory; Information Systems; Computational Theory and Mathematics020201 artificial intelligence & image processingBurrows-Wheeler TransformInformation SystemsMathematics
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The Alternating BWT: an algorithmic perspective

2020

Abstract The Burrows-Wheeler Transform (BWT) is a word transformation introduced in 1994 for Data Compression. It has become a fundamental tool for designing self-indexing data structures, with important applications in several areas in science and engineering. The Alternating Burrows-Wheeler Transform (ABWT) is another transformation recently introduced in Gessel et al. (2012) [21] and studied in the field of Combinatorics on Words. It is analogous to the BWT, except that it uses an alternating lexicographical order instead of the usual one. Building on results in Giancarlo et al. (2018) [23] , where we have shown that BWT and ABWT are part of a larger class of reversible transformations, …

Discrete mathematicsFOS: Computer and information sciencesSettore INF/01 - InformaticaGeneral Computer ScienceBasis (linear algebra)Computer scienceAlternating Burrows-Wheeler TransformGalois wordRank-invertibilityField (mathematics)Data structureTheoretical Computer ScienceTransformation (function)Difference cover algorithmComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Time complexityAlternating Burrows-Wheeler Transform; Difference cover algorithm; Galois word; Rank-invertibilityWord (computer architecture)Data compression
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An extension of the Burrows-Wheeler Transform and applications to sequence comparison and data compression

2005

We introduce a generalization of the Burrows-Wheeler Transform (BWT) that can be applied to a multiset of words. The extended transformation, denoted by E, is reversible, but, differently from BWT, it is also surjective. The E transformation allows to give a definition of distance between two sequences, that we apply here to the problem of the whole mitochondrial genome phylogeny. Moreover we give some consideration about compressing a set of words by using the E transformation as preprocessing.

Discrete mathematicsMultisetBurrows-Wheeler transform; Data Compression; Mitochondrial genome phylogenyBurrows–Wheeler transformMultiplicity (mathematics)Mitochondrial genome phylogenyBurrows-Wheeler transformData CompressionSurjective functionConjugacy classSequence comparisonPreprocessorAlgorithmMathematicsData compression
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An extension of the Burrows-Wheeler Transform

2007

AbstractWe describe and highlight a generalization of the Burrows–Wheeler Transform (bwt) to a multiset of words. The extended transformation, denoted by ebwt, is reversible. Moreover, it allows to define a bijection between the words over a finite alphabet A and the finite multisets of conjugacy classes of primitive words in A∗. Besides its mathematical interest, the extended transform can be useful for applications in the context of string processing. In the last part of this paper we illustrate one such application, providing a similarity measure between sequences based on ebwt.

Discrete mathematicsMultisetSimilarity (geometry)General Computer ScienceBurrows–Wheeler transformGeneralizationAlignment-free distance measure; Burrows-Wheeler transform; Sequence comparisonContext (language use)Similarity measureBurrows-Wheeler transformSequence comparisonTheoretical Computer ScienceConjugacy classBijectionAlignment-free distance measureBurrows–Wheeler transformComputer Science::Formal Languages and Automata TheoryComputer Science(all)Mathematics
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Burrows-Wheeler transform and Run-Length Enconding

2017

In this paper we study the clustering effect of the Burrows-Wheeler Transform (BWT) from a combinatorial viewpoint. In particular, given a word w we define the BWT-clustering ratio of w as the ratio between the number of clusters produced by BWT and the number of the clusters of w. The number of clusters of a word is measured by its Run-Length Encoding. We show that the BWT-clustering ratio ranges in ]0, 2]. Moreover, given a rational number \(r\,\in \,]0,2]\), it is possible to find infinitely many words having BWT-clustering ratio equal to r. Finally, we show how the words can be classified according to their BWT-clustering ratio. The behavior of such a parameter is studied for very well-…

Discrete mathematicsRational numberBurrows–Wheeler transformComputer scienceComputer Science (all)0102 computer and information sciences02 engineering and technologyBurrows-Wheeler transform01 natural sciencesBurrows-Wheeler transform; Clustering effect; Run-length encoding; Theoretical Computer Science; Computer Science (all)Theoretical Computer ScienceClustering effect010201 computation theory & mathematicsRun-length encoding0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCluster analysisWord (computer architecture)Run-length encoding
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Logarithmic Equal-Letter Runs for BWT of Purely Morphic Words

2022

In this paper we study the number r(bwt) of equal-letter runs produced by the Burrows-Wheeler transform (BWT) when it is applied to purely morphic finite words, which are words generated by iterating prolongable morphisms. Such a parameter r(bwt) is very significant since it provides a measure of the performances of the BWT, in terms of both compressibility and indexing. In particular, we prove that, when BWT is applied to whichever purely morphic finite word on a binary alphabet, r(bwt) is O(log n), where n is the length of the word. Moreover, we prove that r(bwt) is Theta(log n) for the binary words generated by a large class of prolongable binary morphisms. These bounds are proved by pro…

Equal-letter runsSettore INF/01 - InformaticaMorphismsBurrows-Wheeler TransformBispecial circular factors
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