Search results for "HMS"

showing 10 items of 1766 documents

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)
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes

2020

In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to relevant clinical outcomes in the human in vivo system still proves challenging, relying on often putative orthologs. In recent years, multiple studies have demonstrated that the repeated dose rodent bioassay, the current gold standard in the field, lacks sufficient sensitivity and specificity in predicting toxic effects of pharmaceuticals in humans. In this study, we evaluate the potential of deep learning techniques to translate the pattern of …

0301 basic medicineGene ExpressionGene Expression Regulation/drug effectsPathology and Laboratory MedicineConvolutional neural networkTOXICITYMachine LearningVoeding Metabolisme en GenomicaTime Measurement0302 clinical medicineGene expressionMedicine and Health SciencesMeasurementClinical Trials as TopicMultidisciplinaryArtificial neural networkPharmaceuticsQRMetabolism and GenomicsTOXICOGENOMICS030220 oncology & carcinogenesisMetabolisme en GenomicaMedicineEngineering and TechnologyNutrition Metabolism and GenomicsHepatocytes/drug effectsAlgorithmsResearch ArticleComputer and Information SciencesClinical Trials as Topic/statistics & numerical dataNeural NetworksGenetic ToxicologyTOXICOLOGYSciencePredictive ToxicologyComputational biologyBiologyComputer03 medical and health sciencesDose Prediction MethodsDeep LearningVoedingArtificial IntelligenceIn vivoGeneticsLife ScienceAnimalsHumansGeneNutritionbusiness.industryDeep learningBiology and Life SciencesGold standard (test)REPRESENTATIONSRats030104 developmental biologyGene Expression RegulationHepatocytesArtificial intelligenceNeural Networks ComputerToxicogenomicsbusinessNeuroscience
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Measuring the clustering effect of BWT via RLE

2017

Abstract The Burrows–Wheeler Transform (BWT) is a reversible transformation on which are based several text compressors and many other tools used in Bioinformatics and Computational Biology. The BWT is not actually a compressor, but a transformation that performs a context-dependent permutation of the letters of the input text that often create runs of equal letters (clusters) longer than the ones in the original text, usually referred to as the “clustering effect” of BWT. In particular, from a combinatorial point of view, great attention has been given to the case in which the BWT produces the fewest number of clusters (cf. [5] , [16] , [21] , [23] ). In this paper we are concerned about t…

0301 basic medicineGeneral Computer SciencePermutationComputer Science (all)Binary number0102 computer and information sciencesQuantitative Biology::Genomics01 natural sciencesUpper and lower boundsTheoretical Computer ScienceCombinatorics03 medical and health sciencesPermutation030104 developmental biologyTransformation (function)BWT010201 computation theory & mathematicsRun-length encodingComputer Science::Data Structures and AlgorithmsCluster analysisPrimitive root modulo nBWT; Permutation; Run-length encoding; Theoretical Computer Science; Computer Science (all)Word (computer architecture)Run-length encodingMathematics
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CLOVE: classification of genomic fusions into structural variation events

2017

Background A precise understanding of structural variants (SVs) in DNA is important in the study of cancer and population diversity. Many methods have been designed to identify SVs from DNA sequencing data. However, the problem remains challenging because existing approaches suffer from low sensitivity, precision, and positional accuracy. Furthermore, many existing tools only identify breakpoints, and so not collect related breakpoints and classify them as a particular type of SV. Due to the rapidly increasing usage of high throughput sequencing technologies in this area, there is an urgent need for algorithms that can accurately classify complex genomic rearrangements (involving more than …

0301 basic medicineGenomicsBiologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistryChromosomesDNA sequencingSet (abstract data type)Structural variationUser-Computer Interface03 medical and health sciencesStructural BiologyEscherichia coliHumansCopy-number variationMolecular Biologylcsh:QH301-705.5InternetMethodology ArticleApplied MathematicsBreakpointGenomic rearrangementsDNAGenomicsStructural variationsComputer Science ApplicationsIdentification (information)030104 developmental biologylcsh:Biology (General)Nucleic Acid ConformationGraph (abstract data type)lcsh:R858-859.7Data miningcomputerAlgorithmsBMC Bioinformatics
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Consensus recommendation for a diagnostic guideline for acid sphingomyelinase deficiency

2017

Disclaimer: This diagnostic guideline is intended as an educational resource and represents the opinions of the authors, and is not representative of recommendations or policy of the American College of Medical Genetics and Genomics (ACMG). The information should be considered a consensus based on expert opinion, as more comprehensive levels of evidence were not available in the literature in all cases. Background: Acid sphingomyelinase deficiency (ASMD) is a rare, progressive, and often fatal lysosomal storage disease. The underlying metabolic defect is deficiency of the enzyme acid sphingomyelinase that results in progressive accumulation of sphingomyelin in target tissues. ASMD manifests…

0301 basic medicineGuias de prática clínica como assuntomedicine.medical_specialtyConsensusLysosomal storage disorderClinical Decision-MakingMEDLINEDiseaseDiagnosis Differential03 medical and health sciencesSpecial Article0302 clinical medicineInternal medicinemedicineHumansacid sphingomyelin deficiencyGenetic TestingDisease management (health)Intensive care medicineDoenças de Niemann-PickGenetics (clinical)PulmonologistsGenetic testingmedicine.diagnostic_testbusiness.industryNiemann-Pick disease types A and BEvidence-based medicineGuidelineNiemann-Pick Disease Type BNiemann-Pick Disease Type A030104 developmental biologyEndocrinologyPhenotypeSphingomyelin PhosphodiesteraseMutationPractice Guidelines as TopicMedical geneticslysosomal storage disorderbusiness030217 neurology & neurosurgeryAlgorithmsBiomarkersAcid sphingomyelin deficiency
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An improved genome assembly uncovers prolific tandem repeats in Atlantic cod

2016

AbstractBackground: The first Atlantic cod (Gadus morhua) genome assembly published in 2011 was one of the early genome assemblies exclusively based on high-throughput 454 pyrosequencing. Since then, rapid advances in sequencing technologies have led to a multitude of assemblies generated for complex genomes, although many of these are of a fragmented nature with a significant fraction of bases in gaps. The development of long-read sequencing and improved software now enable the generation of more contiguous genome assemblies.Results: By combining data from Illumina, 454 and the longer PacBio sequencing technologies, as well as integrating the results of multiple assembly programs, we have …

0301 basic medicineHeterozygoteAssembly algorithmsSequence assemblyGenomicsRepetitive DNABiologyGenome03 medical and health sciences0302 clinical medicineAssembly consolidationTandem repeatIndel polymorphismGeneticsAnimalsGadusLong-read sequencing technologyPromoter Regions GeneticMicrosatellitesRepeated sequenceGenePacBioGeneticsHeterozygosityDinucleotide repeatsMolecular Sequence AnnotationGenomicsSequence Analysis DNAbiology.organism_classification030104 developmental biologyGadus morhuaTandem Repeat SequencesEvolutionary biologyPyrosequencingAtlantic cod030217 neurology & neurosurgeryResearch ArticleBiotechnology
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HIPPIE v2.0: Enhancing meaningfulness and reliability of protein-protein interaction networks

2016

The increasing number of experimentally detected interactions between proteins makes it difficult for researchers to extract the interactions relevant for specific biological processes or diseases. This makes it necessary to accompany the large-scale detection of protein-protein interactions (PPIs) with strategies and tools to generate meaningful PPI subnetworks. To this end, we generated the Human Integrated Protein-Protein Interaction rEference or HIPPIE (http://cbdm.uni-mainz.de/hippie/). HIPPIE is a one-stop resource for the generation and interpretation of PPI networks relevant to a specific research question. We provide means to generate highly reliable, context-specific PPI networks …

0301 basic medicineHippieReliability (computer networking)BiologyWeb BrowserBioinformaticsProtein protein interaction networkComputational biology03 medical and health sciences0302 clinical medicineResource (project management)GeneticsHumansDatabase IssueGraph algorithmsProtein Interaction MapsDatabases ProteinResearch questionGraphical user interfacebusiness.industryReproducibility of ResultsData science030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONProtein interaction mappingbusiness030217 neurology & neurosurgeryProtein Interaction MapSoftware
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In silico prediction of Leishmania major -specific CD8+ epitopes

2017

Infections with Leishmania (L.) major induce protective IFN-γ-dependent Th1/Tc1 immunity in C57BL/6 mice as well as in immunocompetent humans. Even though antigen-specific immunity provides lifelong immunity against reinfection, a vaccine against this pathogen does not yet exist. Here, we compared the results obtained from in silico predictions of murine CD8-specific L. major peptides using the algorithm SYFPEITHI with the number and predicted affinity of known proteins/peptides. Our results indicate that the majority of "immunodominant" epitopes of L. major have not been identified so far; thus, computer-based prediction algorithms may aid the development of an effective vaccine.

0301 basic medicineIn silicoDermatologyComputational biologyBiologybiology.organism_classificationLeishmaniaBiochemistryEpitope03 medical and health sciencesPrediction algorithms030104 developmental biology0302 clinical medicineImmunityLeishmania majorMolecular BiologyPathogenCD8030215 immunologyExperimental Dermatology
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A multicenter study benchmarks software tools for label-free proteome quantification

2016

The consistent and accurate quantification of proteins by mass spectrometry (MS)-based proteomics depends on the performance of instruments, acquisition methods and data analysis software. In collaboration with the software developers, we evaluated OpenSWATH, SWATH2.0, Skyline, Spectronaut and DIA-Umpire, five of the most widely used software methods for processing data from SWATH-MS (sequential window acquisition of all theoretical fragment ion spectra), a method that uses data-independent acquisition (DIA) for label-free protein quantification. We analyzed high-complexity test datasets from hybrid proteome samples of defined quantitative composition acquired on two different MS instrument…

0301 basic medicineInternationalityProteomeComputer sciencemedia_common.quotation_subjectSoftware toolQuantitative proteomicsBiomedical EngineeringBioengineeringcomputer.software_genreBioinformaticsSensitivity and SpecificityApplied Microbiology and BiotechnologyArticleMass Spectrometry03 medical and health sciencesSoftwareQuality (business)media_commonLabel freeStaining and Labeling030102 biochemistry & molecular biologybusiness.industryReproducibility of ResultsBenchmarkingComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyMulticenter studyProteomeBenchmark (computing)Molecular MedicineData miningbusinesscomputerAlgorithmsSoftwareBiotechnologyNature Biotechnology
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Spontaneous brain processing of the mammary pheromone in rabbit neonates prior to milk intake.

2016

International audience; Chemical signals play a critical role in interindividual communication, including mother-young relationships. Detecting odor cues released by the mammary area is vital to the newborn's survival. European rabbit females secret a mammary pheromone (MP) in their milk, which releases sucking related orocephalic movements in newborns. Pups spontaneously display these typical movements at birth, independently of any perinatal learning. Our previous Fos mapping study (Charra et al., 2012) performed in 4-day-old rabbits showed that the MP activated a network of brain regions involved in osmoregulation, odor processing and arousal in comparison with a control odor. However, a…

0301 basic medicineLateral hypothalamuspupMammary pheromoneLateral hypothalamusc-FosPheromonesBehavioral Neurosciencepiriform cortexEating0302 clinical medicinePiriform cortexPosterior piriform cortexhypothalamusNeuronsnewborn rabbitbiologyBrainOlfactory PathwaysMilkHypothalamuscircadian-rhythmsRabbitsPsychologyc-fosmedicine.medical_specialtyodor03 medical and health sciencesInternal medicinemedicine[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyAnimalsLearning[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyMedian preoptic nucleusOrexinsgene-expressionmedian preoptic nucleusOlfactory bulbOrexin030104 developmental biologyEndocrinologyOdorAnimals Newbornolfactory-bulbOdorantsbiology.proteinOrexin030217 neurology & neurosurgeryBehavioural brain research
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