Search results for "soft"

showing 10 items of 9809 documents

Applications of Chemoinformatics in Predictive Toxicology for Regulatory Purposes, Especially in the Context of the EU REACH Legislation

2018

Chemoinformatics methodologies such as QSAR/QSPR have been used for decades in drug discovery projects, especially for the finding of new compounds with therapeutic properties and the optimization of ADME properties on chemical series. The application of computational techniques in predictive toxicology is much more recent, and they are experiencing an increasingly interest because of the new legal requirements imposed by national and international regulations. In the pharmaceutical field, the US Food and Drug Administration (FDA) support the use of predictive models for regulatory decision-making when assessing the genotoxic and carcinogenic potential of drug impurities. In Europe, the REA…

0301 basic medicineEngineeringbusiness.industryManagement scienceLegislationContext (language use)Predictive toxicology010501 environmental sciencescomputer.software_genre01 natural sciences03 medical and health sciences030104 developmental biologyCheminformaticsData miningbusinesscomputer0105 earth and related environmental sciencesInternational Journal of Quantitative Structure-Property Relationships
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Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

2019

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell techno…

0301 basic medicineEpigenomicsMultifactor Dimensionality ReductionComputer scienceGeneral Physics and Astronomy02 engineering and technologyOmics dataMyoblastsMiceSingle-cell analysisGATA1 Transcription FactorMyeloid CellsLymphocyteslcsh:ScienceData processingMultidisciplinaryQGene Expression Regulation DevelopmentalRNA sequencingCell DifferentiationGenomics021001 nanoscience & nanotechnologyData processingDNA-Binding ProteinsInterferon Regulatory FactorsSingle-Cell Analysis0210 nano-technologyAlgorithmsOmics technologiesSignal TransductionLineage differentiationScienceComputational biologyGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesErythroid CellsAnimalsCell LineageGeneral Chemistrydevelopmental trajectories visualizationHematopoietic Stem CellsPipeline (software)Visualization030104 developmental biologyTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESCellular heterogeneitySingle cell analysilcsh:QGene expressionTranscriptomeTranscription FactorsNature Communications
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Informational and linguistic analysis of large genomic sequence collections via efficient Hadoop cluster algorithms

2018

Abstract Motivation Information theoretic and compositional/linguistic analysis of genomes have a central role in bioinformatics, even more so since the associated methodologies are becoming very valuable also for epigenomic and meta-genomic studies. The kernel of those methods is based on the collection of k-mer statistics, i.e. how many times each k-mer in {A,C,G,T}k occurs in a DNA sequence. Although this problem is computationally very simple and efficiently solvable on a conventional computer, the sheer amount of data available now in applications demands to resort to parallel and distributed computing. Indeed, those type of algorithms have been developed to collect k-mer statistics in…

0301 basic medicineEpigenomicsgenomic analysis; hadoop; distributed computingStatistics and ProbabilityComputer scienceBig dataSequence assemblyGenomeBiochemistryDomain (software engineering)Set (abstract data type)03 medical and health sciencesdistributed computingSoftwareComputational Theory and MathematicAnimalsCluster AnalysisHumansA-DNAk-mer counting distributed computing hadoop map reduceMolecular BiologyEpigenomicsBacteriabusiness.industryk-mer countingEukaryotaLinguisticsComputer Science Applications1707 Computer Vision and Pattern RecognitionGenomicsSequence Analysis DNAComputer Science ApplicationsComputational Mathematics030104 developmental biologymap reduceComputational Theory and MathematicsDistributed algorithmgenomic analysisKernel (statistics)MetagenomehadoopbusinessAlgorithmAlgorithmsSoftware
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Stopping injection attacks with code and structured data

2018

Injection attacks top the lists of the most harmful software vulnerabilities. Injection vulnerabilities are both commonplace and easy to exploit, which makes development of injection protection schemes important. In this article, we show how injection attacks can be practically eliminated through the use of structured data paired with cryptographic verification codes upon transmission. peerReviewed

0301 basic medicineExploitComputer scienceCross-site scriptingCryptographyComputer securitycomputer.software_genreSQL injection03 medical and health sciences0302 clinical medicineSoftwareSQL injectionCode (cryptography)Cryptographic hash functionProof-carrying codeproof-carrying codetietoturvaSQLbusiness.industryXSS030104 developmental biologyinjection030220 oncology & carcinogenesiscryptographic hashbusinesscomputer
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FASTdoop: A versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applications

2017

Abstract Summary MapReduce Hadoop bioinformatics applications require the availability of special-purpose routines to manage the input of sequence files. Unfortunately, the Hadoop framework does not provide any built-in support for the most popular sequence file formats like FASTA or BAM. Moreover, the development of these routines is not easy, both because of the diversity of these formats and the need for managing efficiently sequence datasets that may count up to billions of characters. We present FASTdoop, a generic Hadoop library for the management of FASTA and FASTQ files. We show that, with respect to analogous input management routines that have appeared in the Literature, it offers…

0301 basic medicineFASTQ formatStatistics and ProbabilityComputer scienceSequence analysismedia_common.quotation_subjectInformation Storage and RetrievalBioinformaticscomputer.software_genreGenomeBiochemistryDomain (software engineering)03 medical and health sciencesComputational Theory and MathematicHumansGenomic libraryQuality (business)DNA sequencingFASTQ; NGS; FASTQ; DNA sequencingMolecular Biologymedia_commonGene LibrarySequenceDatabaseSettore INF/01 - InformaticaGenome HumanComputer Science Applications1707 Computer Vision and Pattern RecognitionGenomicsSequence Analysis DNAFASTQFile formatComputer Science ApplicationsStatistics and Probability; Biochemistry; Molecular Biology; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computational Theory and Mathematics; Computational MathematicsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsNGSDatabase Management Systemscomputer
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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
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Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus

2016

Background: ChIP-nexus, an extension of the ChIP-exo protocol, can be used to map the borders of protein-bound DNA sequences at nucleotide resolution, requires less input DNA and enables selective PCR duplicate removal using random barcodes. However, the use of random barcodes requires additional preprocessing of the mapping data, which complicates the computational analysis. To date, only a very limited number of software packages are available for the analysis of ChIP-exo data, which have not yet been systematically tested and compared on ChIP-nexus data. Results: Here, we present a comprehensive software package for ChIP-nexus data that exploits the random barcodes for selective removal …

0301 basic medicineFOS: Computer and information sciencesDuplication ratesChromatin ImmunoprecipitationBioinformaticsPipeline (computing)610Biologycomputer.software_genre600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit03 medical and health sciencesSoftwareChIP-nexusGeneticsPreprocessorNucleotide MotifsLibrary complexityChIP-exoGeneticsProtocol (science)Binding Sitesbusiness.industryfungiComputational BiologyHigh-Throughput Nucleotide SequencingReproducibility of ResultsChipChromatin immunoprecipitationData mappingDNA-Binding ProteinsAlgorithm030104 developmental biologyChIP-exoData miningbusinessPeak callingcomputerAlgorithmsSoftwareProtein BindingTranscription FactorsResearch ArticleBiotechnologyBMC Genomics
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Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.

2020

Genetic diseases are driven by aberrations of the human genome. Identification of such aberrations including structural variations (SVs) is key to our understanding. Conventional short-reads whole genome sequencing (cWGS) can identify SVs to base-pair resolution, but utilizes only short-range information and suffers from high false discovery rate (FDR). Linked-reads sequencing (10XWGS) utilizes long-range information by linkage of short-reads originating from the same large DNA molecule. This can mitigate alignment-based artefacts especially in repetitive regions and should enable better prediction of SVs. However, an unbiased evaluation of this technology is not available. In this study, w…

0301 basic medicineFalse discovery rateComputer scienceArtificial Gene Amplification and ExtensionPolymerase Chain ReactionDatabase and Informatics MethodsSequencing techniques0302 clinical medicineBreast TumorsBasic Cancer ResearchMedicine and Health SciencesDNA sequencingBiology (General)EcologyHigh-Throughput Nucleotide SequencingGenomicsDNA Neoplasm3. Good healthIdentification (information)OncologyComputational Theory and MathematicsModeling and SimulationMCF-7 CellsFemaleSequence AnalysisResearch ArticleBioinformaticsQH301-705.5Breast NeoplasmsGenomicsComputational biologyResearch and Analysis MethodsHuman Genomics03 medical and health sciencesCellular and Molecular NeuroscienceCancer GenomicsGenomic MedicineBreast CancerGeneticsDNA Barcoding TaxonomicHumansMolecular Biology TechniquesMolecular BiologyEcology Evolution Behavior and SystematicsWhole genome sequencingLinkage (software)Whole Genome SequencingGenome HumanDideoxy DNA sequencingGenetic Diseases InbornCancers and NeoplasmsBiology and Life SciencesComputational BiologyStatistical modelSequence Analysis DNARepetitive RegionsLogistic Models030104 developmental biologyGenomic Structural VariationHuman genomeSequence Alignment030217 neurology & neurosurgeryPLoS Computational Biology
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Feasibility of sample size calculation for RNA-seq studies

2017

Sample size calculation is a crucial step in study design but is not yet fully established for RNA sequencing (RNA-seq) analyses. To evaluate feasibility and provide guidance, we evaluated RNA-seq sample size tools identified from a systematic search. The focus was on whether real pilot data would be needed for reliable results and on identifying tools that would perform well in scenarios with different levels of biological heterogeneity and fold changes (FCs) between conditions. We used simulations based on real data for tool evaluation. In all settings, the six evaluated tools provided widely different answers, which were strongly affected by FC. Although all tools failed for small FCs, s…

0301 basic medicineFold (higher-order function)Sequence Analysis RNAComputer scienceHigh-Throughput Nucleotide SequencingRNA-Seqcomputer.software_genre03 medical and health sciences030104 developmental biology0302 clinical medicineResearch DesignSample size determinationSample SizeFeasibility StudiesHumansData miningMolecular BiologycomputerSoftware030217 neurology & neurosurgeryInformation SystemsSystematic searchBriefings in Bioinformatics
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MiasDB: A Database of Molecular Interactions Associated with Alternative Splicing of Human Pre-mRNAs.

2016

Alternative splicing (AS) is pervasive in human multi-exon genes and is a major contributor to expansion of the transcriptome and proteome diversity. The accurate recognition of alternative splice sites is regulated by information contained in networks of protein-protein and protein-RNA interactions. However, the mechanisms leading to splice site selection are not fully understood. Although numerous databases have been built to describe AS, molecular interaction databases associated with AS have only recently emerged. In this study, we present a new database, MiasDB, that provides a description of molecular interactions associated with human AS events. This database covers 938 interactions …

0301 basic medicineGene regulatory networklcsh:MedicineRNA-binding proteinRNA-binding proteinscomputer.software_genreBiochemistryHistonesExonDatabase and Informatics MethodsDatabases GeneticProtein Interaction MappingRNA PrecursorsGene Regulatory NetworksDatabase Searchinglcsh:ScienceMultidisciplinaryDatabaseExonsGenomicsGenomic DatabasesNucleic acidsRNA splicingProteomeSequence AnalysisResearch ArticleSequence DatabasesBiologyResponse ElementsResearch and Analysis MethodsGenome Complexity03 medical and health sciencesGeneticsHumansMolecular Biology TechniquesSequencing TechniquesProtein InteractionsGeneMolecular BiologyInternetlcsh:RAlternative splicingIntronBiology and Life SciencesComputational BiologyProteinsGenome AnalysisIntronsAlternative Splicing030104 developmental biologyBiological DatabasesRNA processingRNAlcsh:QRNA Splice SitesGene expressioncomputerProtein KinasesTranscription FactorsPloS one
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