Search results for "Sequence analysi"

showing 10 items of 1351 documents

Acceleration of short and long DNA read mapping without loss of accuracy using suffix array

2014

HPG Aligner applies suffix arrays for DNA read mapping. This implementation produces a highly sensitive and extremely fast mapping of DNA reads that scales up almost linearly with read length. The approach presented here is faster (over 20 for long reads) and more sensitive (over 98% in a wide range of read lengths) than the current state-of-the-art mappers. HPG Aligner is not only an optimal alternative for current sequencers but also the only solution available to cope with longer reads and growing throughputs produced by forthcoming sequencing technologies.

Statistics and ProbabilityComputer scienceSequence analysisSequence alignmentdatabase searchescomputer.software_genreBiochemistrylaw.inventionAccelerationchemistry.chemical_compoundlawCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALAnimalsHumansMolecular BiologyDatabasesequencing dataSuffix arraySequence analysisHigh-Throughput Nucleotide SequencingalignmentSequence Analysis DNAApplications NotesComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicschemistryDrosophilaSuffixSequence AlignmentcomputerAlgorithmAlgorithmsSoftwareDNA
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DySC: software for greedy clustering of 16S rRNA reads.

2012

Abstract Summary: Pyrosequencing technologies are frequently used for sequencing the 16S ribosomal RNA marker gene for profiling microbial communities. Clustering of the produced reads is an important but time-consuming task. We present Dynamic Seed-based Clustering (DySC), a new tool based on the greedy clustering approach that uses a dynamic seeding strategy. Evaluations based on the normalized mutual information (NMI) criterion show that DySC produces higher quality clusters than UCLUST and CD-HIT at a comparable runtime. Availability and implementation: DySC, implemented in C, is available at http://code.google.com/p/dysc/ under GNU GPL license. Contact:  bertil.schmidt@uni-mainz.de Sup…

Statistics and ProbabilityComputer sciencebusiness.industrySequence Analysis RNA16S ribosomal RNAcomputer.software_genreBiochemistryComputer Science ApplicationsComputational MathematicsSoftwareComputational Theory and MathematicsRNA Ribosomal 16SCluster AnalysisMetagenomeData miningCluster analysisbusinessMolecular BiologycomputerSoftwareBioinformatics (Oxford, England)
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Musket: a multistage k-mer spectrum-based error corrector for Illumina sequence data

2012

Abstract Motivation: The imperfect sequence data produced by next-generation sequencing technologies have motivated the development of a number of short-read error correctors in recent years. The majority of methods focus on the correction of substitution errors, which are the dominant error source in data produced by Illumina sequencing technology. Existing tools either score high in terms of recall or precision but not consistently high in terms of both measures. Results: In this article, we present Musket, an efficient multistage k-mer-based corrector for Illumina short-read data. We use the k-mer spectrum approach and introduce three correction techniques in a multistage workflow: two-s…

Statistics and ProbabilityComputer sciencebusiness.industrySequence assemblySequence Analysis DNAMusketBiochemistryComputer Science ApplicationsComputational MathematicsCUDASoftwareComputational Theory and Mathematicsk-merEscherichia coliChromosomes HumanHumansbusinessFocus (optics)Molecular BiologyAlgorithmAlgorithmsGenome BacterialSoftwareIllumina dye sequencingBioinformatics
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Adaptive reference-free compression of sequence quality scores

2014

Motivation: Rapid technological progress in DNA sequencing has stimulated interest in compressing the vast datasets that are now routinely produced. Relatively little attention has been paid to compressing the quality scores that are assigned to each sequence, even though these scores may be harder to compress than the sequences themselves. By aggregating a set of reads into a compressed index, we find that the majority of bases can be predicted from the sequence of bases that are adjacent to them and hence are likely to be less informative for variant calling or other applications. The quality scores for such bases are aggressively compressed, leaving a relatively small number at full reso…

Statistics and ProbabilityFOS: Computer and information sciencesComputer sciencemedia_common.quotation_subjectReference-freecomputer.software_genreBiochemistryDNA sequencingSet (abstract data type)Redundancy (information theory)BWTComputer Science - Data Structures and AlgorithmsCode (cryptography)AnimalsHumansQuality (business)Data Structures and Algorithms (cs.DS)Quantitative Biology - GenomicsCaenorhabditis elegansMolecular Biologymedia_commonGenomics (q-bio.GN)SequenceGenomeSettore INF/01 - Informaticareference-free compressionHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNAData CompressioncompressionComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsFOS: Biological sciencesData miningquality scoreMetagenomicscomputerBWT; compression; quality score; reference-free compressionAlgorithmsReference genome
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SeqEditor: an application for primer design and sequence analysis with or without GTF/GFF files

2021

[Motivation]: Sequence analyses oriented to investigate specific features, patterns and functions of protein and DNA/RNA sequences usually require tools based on graphic interfaces whose main characteristic is their intuitiveness and interactivity with the user’s expertise, especially when curation or primer design tasks are required. However, interface-based tools usually pose certain computational limitations when managing large sequences or complex datasets, such as genome and transcriptome assemblies. Having these requirments in mind we have developed SeqEditor an interactive software tool for nucleotide and protein sequences’ analysis.

Statistics and ProbabilityInterface (Java)Sequence analysisComputer sciencePcr assayBiochemistryGenomeTranscriptome03 medical and health sciencesSequence Analysis ProteinMultiplex polymerase chain reactionHumansNucleotideAmino Acid SequenceMolecular Biology030304 developmental biologychemistry.chemical_classification0303 health sciencesGenomeInformation retrievalContig030302 biochemistry & molecular biologyChromosomeComputer Science ApplicationsComputational MathematicsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and MathematicschemistryLine (text file)Primer (molecular biology)Sequence AnalysisSoftwareReference genome
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ballaxy: web services for structural bioinformatics.

2014

Abstract Motivation: Web-based workflow systems have gained considerable momentum in sequence-oriented bioinformatics. In structural bioinformatics, however, such systems are still relatively rare; while commercial stand-alone workflow applications are common in the pharmaceutical industry, academic researchers often still rely on command-line scripting to glue individual tools together. Results: In this work, we address the problem of building a web-based system for workflows in structural bioinformatics. For the underlying molecular modelling engine, we opted for the BALL framework because of its extensive and well-tested functionality in the field of structural bioinformatics. The large …

Statistics and ProbabilityModels MolecularComputer sciencecomputer.software_genreBiochemistryWorkflowStructural bioinformaticsUser-Computer InterfaceHumansMolecular Biologybusiness.industryComputational BiologySequence Analysis DNAData structureComputer Science ApplicationsVisualizationSystems IntegrationComputational MathematicsWorkflowComputational Theory and MathematicsScripting languageWeb serviceSoftware engineeringbusinesscomputerAlgorithmsSoftwareBioinformatics (Oxford, England)
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Assessment of the probabilities for evolutionary structural changes in protein folds.

2007

Abstract Motivation: The evolution of protein sequences can be described by a stepwise process, where each step involves changes of a few amino acids. In a similar manner, the evolution of protein folds can be at least partially described by an analogous process, where each step involves comparatively simple changes affecting few secondary structure elements. A number of such evolution steps, justified by biologically confirmed examples, have previously been proposed by other researchers. However, unlike the situation with sequences, as far as we know there have been no attempts to estimate the comparative probabilities for different kinds of such structural changes. Results: We have tried …

Statistics and ProbabilityModels MolecularProtein FoldingProtein domainStructural alignmentBiologyBiochemistrySet (abstract data type)Evolution MolecularProtein structureSimilarity (network science)Sequence Analysis ProteinComputer SimulationMolecular BiologyProtein secondary structureConserved SequenceSequenceModels GeneticSequence Homology Amino AcidProteinsStructural Classification of Proteins databaseComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsModels ChemicalData Interpretation Statisticalsense organsAlgorithmSequence AlignmentBioinformatics (Oxford, England)
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Tests for Differentiation in Gene Expression Using a Data-Driven Order or Weights for Hypotheses

2005

In the analysis of gene expression by microarrays there are usually few subjects, but high-dimensional data. By means of techniques, such as the theory of spherical tests or with suitable permutation tests, it is possible to sort the endpoints or to give weights to them according to specific criteria determined by the data while controlling the multiple type I error rate. The procedures developed so far are based on a sequential analysis of weighted p-values (corresponding to the endpoints), including the most extreme situation of weighting leading to a complete order of p-values. When the data for the endpoints have approximately equal variances, these procedures show good power properties…

Statistics and ProbabilityModels StatisticalModels GeneticBiometricsGene Expression ProfilingWord error rateFamilywise error rateGeneral MedicineData-drivenWeightingData Interpretation StatisticalsortComputer Simulationp-valueStatistics Probability and UncertaintyAlgorithmAlgorithmsOligonucleotide Array Sequence AnalysisMathematicsType I and type II errorsBiometrical Journal
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CARE: context-aware sequencing read error correction.

2020

Abstract Motivation Error correction is a fundamental pre-processing step in many Next-Generation Sequencing (NGS) pipelines, in particular for de novo genome assembly. However, existing error correction methods either suffer from high false-positive rates since they break reads into independent k-mers or do not scale efficiently to large amounts of sequencing reads and complex genomes. Results We present CARE—an alignment-based scalable error correction algorithm for Illumina data using the concept of minhashing. Minhashing allows for efficient similarity search within large sequencing read collections which enables fast computation of high-quality multiple alignments. Sequencing errors ar…

Statistics and ProbabilityMultiple sequence alignmentComputer scienceSequence assemblyHigh-Throughput Nucleotide SequencingContext (language use)Sequence Analysis DNAcomputer.software_genreBiochemistryGenomeComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsHumansHuman genomeData miningError detection and correctionMolecular BiologycomputerSequence AlignmentAlgorithmsSoftwareBioinformatics (Oxford, England)
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A parallel and sensitive software tool for methylation analysis on multicore platforms.

2015

Abstract Motivation: DNA methylation analysis suffers from very long processing time, as the advent of Next-Generation Sequencers has shifted the bottleneck of genomic studies from the sequencers that obtain the DNA samples to the software that performs the analysis of these samples. The existing software for methylation analysis does not seem to scale efficiently neither with the size of the dataset nor with the length of the reads to be analyzed. As it is expected that the sequencers will provide longer and longer reads in the near future, efficient and scalable methylation software should be developed. Results: We present a new software tool, called HPG-Methyl, which efficiently maps bis…

Statistics and ProbabilityMutation rateTime FactorsComputer scienceReal-time computingBisulfite sequencingMolecular Sequence DataGenomicsParallel computingcomputer.software_genremedicine.disease_causeBiochemistryGenomeBottleneckchemistry.chemical_compoundSoftwareMutation RateDatabases GeneticmedicineHumansSulfitesMolecular BiologyMutationMulti-core processorGenomeBase Sequencebusiness.industryHigh-Throughput Nucleotide SequencingMethylationGenomicsDNA MethylationOriginal PapersComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicschemistryDNA methylationScalabilityMutationCompilerbusinesscomputerSequence AnalysisDNAAlgorithmsSoftwareBioinformatics (Oxford, England)
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