Search results for " Data Structures"

showing 10 items of 80 documents

Detecting mutations by eBWT

2018

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 sequenced from a genome G. Our theory accurately predicts how many copies of any nucleotide are expected inside each such cluster, and how an elegant and precise LCP array based procedure can locate these clusters in the eBWT. Our findings are very general and can be applied to a wide range of different problems. In this paper, we consider the case of alignment-free and reference-free SNPs discovery in multiple collections of reads. We note that, in accordance with our theoretical results, SNPs are clustered in th…

0301 basic medicineFOS: Computer and information sciences000 Computer science knowledge general worksBWT LCP Array SNPs Reference-free Assembly-freeLCP ArraySettore INF/01 - Informatica[SDV]Life Sciences [q-bio]Reference-freeAssembly-freeSNP03 medical and health sciences030104 developmental biologyBWTBWT; LCP Array; SNPs; Reference-free; Assembly-freeComputer ScienceComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]SoftwareSNPs
researchProduct

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
researchProduct

Alignment-free sequence comparison using absent words

2018

Sequence comparison is a prerequisite to virtually all comparative genomic analyses. It is often realised by sequence alignment techniques, which are computationally expensive. This has led to increased research into alignment-free techniques, which are based on measures referring to the composition of sequences in terms of their constituent patterns. These measures, such as $q$-gram distance, are usually computed in time linear with respect to the length of the sequences. In this paper, we focus on the complementary idea: how two sequences can be efficiently compared based on information that does not occur in the sequences. A word is an {\em absent word} of some sequence if it does not oc…

0301 basic medicineFOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheorySequence alignmentInformation System0102 computer and information sciencesCircular wordAbsent words01 natural sciencesUpper and lower boundsSequence comparisonTheoretical Computer ScienceCombinatorics03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Absent wordCircular wordsMathematicsSequenceSettore INF/01 - InformaticaProcess (computing)q-gramComputer Science Applications1707 Computer Vision and Pattern Recognitionq-gramsComposition (combinatorics)Computer Science Applications030104 developmental biologyComputational Theory and MathematicsForbidden words010201 computation theory & mathematicsFocus (optics)Forbidden wordWord (computer architecture)Information SystemsInteger (computer science)
researchProduct

Block Sorting-Based Transformations on Words: Beyond the Magic BWT

2018

The Burrows-Wheeler Transform (BWT) is a word transformation introduced in 1994 for Data Compression and later results have contributed to make it a fundamental tool for the design of self-indexing compressed data structures. The Alternating Burrows-Wheeler Transform (ABWT) is a more recent transformation, studied in the context of Combinatorics on Words, that works in a similar way, using an alternating lexicographical order instead of the usual one. In this paper we study a more general class of block sorting-based transformations. The transformations in this new class prove to be interesting combinatorial tools that offer new research perspectives. In particular, we show that all the tra…

0301 basic medicineSettore INF/01 - InformaticaComputer scienceData_CODINGANDINFORMATIONTHEORY0102 computer and information sciencesBlock sortingData structureLexicographical order01 natural sciencesUpper and lower bounds03 medical and health sciencesCombinatorics on words030104 developmental biology010201 computation theory & mathematicsArithmeticCompressed Data Structures Block Sorting Combinatorics on Words AlgorithmsData compression
researchProduct

Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm

2012

Clustering is one of the most well known activities in scien- tific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. In this beautiful area, one of the most difficult challenges is the model selection problem, i.e., the identifi- cation of the correct number of clusters in a dataset. In the last decade, a few novel techniques for model selection, representing a sharp departure from previous ones in statistics, have been proposed and gained promi- nence for microarray data analysis. Among those, the stability-based methods are the most robust and best performing in terms of predic- tion, but the slowest in terms of time. Unfortunately…

Class (computer programming)Settore INF/01 - Informaticabusiness.industryComputer scienceHeuristic (computer science)Model selectionStability (learning theory)Machine learningcomputer.software_genreIdentification (information)Algorithm designArtificial intelligenceCluster analysisbusinessAlgorithms and Data StructuresThroughput (business)computer
researchProduct

Table Compression

2016

Data Compression Techniques for massive tables are described. Related methodological results are also presented.

Compression and transmission of tableSettore INF/01 - InformaticaBig Data ManagementStorageCompressive estimates of entropyData Compression. Algorithms. Data structuresCompression of multidimensional data
researchProduct

Fully Automatic Trunk Packing with Free Placements

2010

We present a new algorithm to compute the volume of a trunk according to the SAE J1100 standard. Our new algorithm uses state-of-the-art methods from computational geometry and from combinatorial optimization. It finds better solutions than previous approaches for small trunks.

Computational Geometry (cs.CG)FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputer Science - Data Structures and AlgorithmsComputer Science - Computational GeometryData Structures and Algorithms (cs.DS)Computer Science - Discrete Mathematics
researchProduct

Reverse-Safe Text Indexing

2021

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z - reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D . The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z , we propose an algorithm that constructs a z -reverse-safe data structure ( z -RSDS) that has size O(n) and answers decision and counting pattern matc…

Data structuresComputer scienceSuffix treesuffix tree0102 computer and information sciences02 engineering and technologytext indexing01 natural sciencesTheoretical Computer Sciencelaw.inventionSet (abstract data type)law020204 information systems0202 electrical engineering electronic engineering information engineeringPattern matchingdata privacySettore INF/01 - InformaticaSearch engine indexingdata privacy; Data structures; pattern matching; suffix tree; text indexingData structureMatrix multiplicationpattern matching010201 computation theory & mathematicsData structureAlgorithmAdversary modelInteger (computer science)ACM Journal of Experimental Algorithmics
researchProduct

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
researchProduct

Epigenomic k-mer dictionaries: shedding light on how sequence composition influences in vivo nucleosome positioning

2014

Abstract Motivation: Information-theoretic and compositional analysis of biological sequences, in terms of k-mer dictionaries, has a well established role in genomic and proteomic studies. Much less so in epigenomics, although the role of k-mers in chromatin organization and nucleosome positioning is particularly relevant. Fundamental questions concerning the informational content and compositional structure of nucleosome favouring and disfavoring sequences with respect to their basic building blocks still remain open. Results: We present the first analysis on the role of k-mers in the composition of nucleosome enriched and depleted genomic regions (NER and NDR for short) that is: (i) exhau…

EpigenomicsStatistics and ProbabilityGeneticsSupplementary dataSequenceGenomeSettore INF/01 - InformaticaSequence Analysis DNAComputational biologyAlgorithms and Data Structures BioinformaticsBiologyChromatin Assembly and DisassemblyBiochemistryNucleosomesComputer Science ApplicationsComputational MathematicsComputational Theory and Mathematicsk-merAnimalsHumansNucleosomeMolecular BiologyComposition (language)Epigenomics
researchProduct