Search results for "plication"

showing 10 items of 8564 documents

dAPE: a web server to detect homorepeats and follow their evolution.

2016

Abstract Summary Homorepeats are low complexity regions consisting of repetitions of a single amino acid residue. There is no current consensus on the minimum number of residues needed to define a functional homorepeat, nor even if mismatches are allowed. Here we present dAPE, a web server that helps following the evolution of homorepeats based on orthology information, using a sensitive but tunable cutoff to help in the identification of emerging homorepeats. Availability and Implementation dAPE can be accessed from http://cbdm-01.zdv.uni-mainz.de/∼munoz/polyx. Supplementary information Supplementary data are available at Bioinformatics online.

0301 basic medicineStatistics and ProbabilityRepetitive Sequences Amino AcidWeb serverInternetComputer sciencecomputer.software_genreBiochemistryApplications NotesComputer Science ApplicationsWorld Wide WebEvolution Molecular03 medical and health sciencesComputational Mathematics030104 developmental biologyComputational Theory and MathematicsAnimalsHumansData miningMolecular BiologycomputerSequence AlignmentSequence AnalysisSoftwareBioinformatics (Oxford, England)
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AFS: identification and quantification of species composition by metagenomic sequencing

2017

Abstract Summary DNA-based methods to detect and quantify taxon composition in biological materials are often based on species-specific polymerase chain reaction, limited to detecting species targeted by the assay. Next-generation sequencing overcomes this drawback by untargeted shotgun sequencing of whole metagenomes at affordable cost. Here we present AFS, a software pipeline for quantification of species composition in food. AFS uses metagenomic shotgun sequencing and sequence read counting to infer species proportions. Using Illumina data from a reference sausage comprising four species, we reveal that AFS is independent of the sequencing assay and library preparation protocol. Cost-sav…

0301 basic medicineStatistics and ProbabilitySequence analysisLibrary preparationComputational biologyBiologyBioinformaticsBiochemistrylaw.invention03 medical and health sciences0404 agricultural biotechnologylawMolecular BiologyPolymerase chain reactionShotgun sequencingHigh-Throughput Nucleotide SequencingSequence Analysis DNA04 agricultural and veterinary sciencesAccession number (bioinformatics)040401 food scienceBiological materialsComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsMetagenomicsFood MicrobiologyIdentification (biology)MetagenomicsSoftwareBioinformatics
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MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems

2016

This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of recordJorge González-Domínguez, Yongchao Liu, Juan Touriño, Bertil Schmidt; MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems, Bioinformatics, Volume 32, Issue 24, 15 December 2016, Pages 3826–3828, https://doi.org/10.1093/bioinformatics/btw558is available online at: https://doi.org/10.1093/bioinformatics/btw558 [Abstracts] MSAProbs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models. It can achieve high alignment accuracy at the expense of relatively long runtimes for large-sca…

0301 basic medicineStatistics and ProbabilitySource codeComputer sciencemedia_common.quotation_subject02 engineering and technologyParallel computingcomputer.software_genreBiochemistryExecution time03 medical and health sciences0202 electrical engineering electronic engineering information engineeringCluster (physics)Point (geometry)Amino Acid SequenceMolecular Biologymedia_commonSequenceMultiple sequence alignmentProtein multiple sequenceComputational BiologyProteinsMarkov ChainsComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsDistributed memory systemsMSAProbs020201 artificial intelligence & image processingMPIData miningSequence AlignmentcomputerAlgorithmsSoftware
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Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

0301 basic medicineStatistics and ProbabilitySource codeTheoretical computer scienceRetroelementsmedia_common.quotation_subjectRetrotransposon[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBiochemistryGenomeChromosomesBranching (linguistics)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SoftwareAnimalsComputer SimulationMolecular BiologyComputingMilieux_MISCELLANEOUSmedia_commoncomputer.programming_languageGeneticsGenomeModels Geneticbusiness.industry[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Python (programming language)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyDrosophila melanogasterComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Programming Languages[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Mobile genetic elements[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerSoftware
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REGGAE : a novel approach for the identification of key transcriptional regulators

2019

Abstract Motivation Transcriptional regulators play a major role in most biological processes. Alterations in their activities are associated with a variety of diseases and in particular with tumor development and progression. Hence, it is important to assess the effects of deregulated regulators on pathological processes. Results Here, we present REGulator-Gene Association Enrichment (REGGAE), a novel method for the identification of key transcriptional regulators that have a significant effect on the expression of a given set of genes, e.g. genes that are differentially expressed between two sample groups. REGGAE uses a Kolmogorov–Smirnov-like test statistic that implicitly combines assoc…

0301 basic medicineStatistics and ProbabilityTranscription Genetic610Computational biologyBiologyBiochemistry03 medical and health sciencesNeoplasmsHumansTwo sampleMolecular BiologyGeneProbabilitySupplementary dataRegulation of gene expressionSystems Biology500Original PapersComputer Science Applications004Computational Mathematics030104 developmental biologyComputational Theory and MathematicsGene Expression RegulationKey (cryptography)Identification (biology)FemaleSoftware
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In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes

2018

Abstract Motivation Although the nucleosome occupancy along a genome can be in part predicted by in vitro experiments, it has been recently observed that the chromatin organization presents important differences in vitro with respect to in vivo. Such differences mainly regard the hierarchical and regular structures of the nucleosome fiber, whose existence has long been assumed, and in part also observed in vitro, but that does not apparently occur in vivo. It is also well known that the DNA sequence has a role in determining the nucleosome occupancy. Therefore, an important issue is to understand if, and to what extent, the structural differences in the chromatin organization between in vit…

0301 basic medicineStatistics and Probabilityved/biology.organism_classification_rank.speciesComputational biologySaccharomyces cerevisiaeGenomeBiochemistryDNA sequencingHistones03 medical and health sciences0302 clinical medicineIn vivoComputational Theory and MathematicNucleosomeAnimalsModel organismCaenorhabditis elegansMolecular BiologySequence (medicine)GenomebiologySettore INF/01 - Informaticaved/biologyComputer Science ApplicationChromatinComputer Science ApplicationsChromatinNucleosomesComputational Mathematics030104 developmental biologyHistoneEukaryotic CellsComputational Theory and Mathematicsbiology.proteinComputer Vision and Pattern RecognitionSequence Analysis030217 neurology & neurosurgery
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Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants

2021

Abstract Background COVID-19, declared a pandemic in March 2020 by the World Health Organization is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The virus has already killed more than 2.3 million people worldwide. Object The principal intent of this work was to investigate lead compounds by screening natural product library (NPASS) for possible treatment of COVID-19. Methods Pharmacophore features were used to screen a large database to get a small dataset for structure-based virtual screening of natural product compounds. In the structure-based screening, molecular docking was performed to find a potent inhibitor molecule against the main protease (Mpro) of SARS-…

0301 basic medicineStereochemistrymedicine.medical_treatmentPhytochemicalsProtein Data Bank (RCSB PDB)Health Informaticsmedicine.disease_causeMolecular Docking SimulationAntiviral AgentsArticleDocking03 medical and health scienceschemistry.chemical_compound0302 clinical medicinemedicineHumansProtease InhibitorsCoronavirusVirtual screeningNatural productsProteaseChemistrySARS-CoV-2COVID-19Computer Science ApplicationsProteaseCoronavirusMolecular Docking Simulation030104 developmental biologyDocking (molecular)PharmacophoreLead compound030217 neurology & neurosurgeryMproPeptide HydrolasesComputers in Biology and Medicine
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MET/HGF Co-Targeting in Pancreatic Cancer: A Tool to Provide Insight into the Tumor/Stroma Crosstalk

2018

The ‘onco-receptor’ MET (Hepatocyte Growth Factor Receptor) is involved in the activation of the invasive growth program that is essential during embryonic development and critical for wound healing and organ regeneration during adult life. When aberrantly activated, MET and its stroma-secreted ligand HGF (Hepatocyte Growth Factor) concur to tumor onset, progression, and metastasis in solid tumors, thus representing a relevant target for cancer precision medicine. In the vast majority of tumors, wild-type MET behaves as a ‘stress-response’ gene, and relies on ligand stimulation to sustain cancer cell ‘scattering’, invasion, and protection form apoptosis. …

0301 basic medicineStromal cellpancreatic cancerReviewHGF; MET; Metastasis; Pancreatic cancer; Target therapy; Tumor microenvironment; Animals; Hepatocyte Growth Factor; Humans; Neoplasm Metastasis; Pancreatic Neoplasms; Proto-Oncogene Proteins c-metCatalysisMetastasisInorganic Chemistrylcsh:Chemistry03 medical and health sciences0302 clinical medicinePancreatic cancermedicineAnimalsHumansmetastasistumor microenvironmentHGFPhysical and Theoretical ChemistryNeoplasm MetastasisMolecular Biologylcsh:QH301-705.5SpectroscopyTumor microenvironmentbusiness.industryHepatocyte Growth Factortarget therapyOrganic ChemistryGeneral MedicineProto-Oncogene Proteins c-metmedicine.diseaseComputer Science ApplicationsPancreatic Neoplasms030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Tumor progressionHepatocyte Growth Factor Receptor030220 oncology & carcinogenesisCancer cellCancer researchMETHepatocyte growth factorbusinessmedicine.drugInternational Journal of Molecular Sciences
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Comparison of Two Solid-Phase Extraction (SPE) Methods for the Identification and Quantification of Porcine Retinal Protein Markers by LC-MS/MS

2018

Proper sample preparation protocols represent a critical step for liquid chromatography-mass spectrometry (LC-MS)-based proteomic study designs and influence the speed, performance and automation of high-throughput data acquisition. The main objective of this study was to compare two commercial solid-phase extraction (SPE)-based sample preparation protocols (comprising SOLA&micro

0301 basic medicineSwineGeneral Mathematicssample clean-upProteomicsMass spectrometry01 natural sciencesCatalysisRetinaArticlelcsh:ChemistryInorganic Chemistry03 medical and health scienceschemistry.chemical_compoundglaucoma animal modelZIPTIP® C18 pipette tipsTandem Mass SpectrometryLiquid chromatography–mass spectrometryTrifluoroacetic acidAnimalsSample preparationSolid phase extractionPhysical and Theoretical ChemistryEye Proteinslcsh:QH301-705.5Molecular BiologySpectroscopymass spectrometryZIPTIP<sup>®</sup> C18 pipette tipsReproducibilityChromatographyChemistryApplied Mathematics010401 analytical chemistryOrganic ChemistrySolid Phase ExtractionExtraction (chemistry)PipettebiomarkersGlaucomaGeneral Medicine0104 chemical sciencesComputer Science Applications030104 developmental biologylcsh:Biology (General)lcsh:QD1-999SOLAμTM HRP SPE spin platesPeptidesChromatography LiquidInternational Journal of Molecular Sciences
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A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus

2017

MicroRNAs (miRNAs) are small noncoding RNAs that modulate the cellular transcriptome at the post-transcriptional level. miRNA plays important roles in different disease manifestation, including type 2 diabetes mellitus (T2DM). Many studies have characterized the changes of miRNAs in T2DM, a complex systematic disease; however, few studies have integrated these findings and explored the functional effects of the dysregulated miRNAs identified. To investigate the involvement of miRNAs in T2DM, we obtained and analyzed all relevant studies published prior to 18 October 2016 from various literature databases. From 59 independent studies that met the inclusion criteria, we identified 158 dysregu…

0301 basic medicineSystematic surveytype 2 diabetes mellitussystematic study030209 endocrinology & metabolismDiseaseBioinformaticsCatalysisArticleInorganic ChemistryTranscriptomelcsh:Chemistry03 medical and health sciences0302 clinical medicineDiabetes mellitusmiRNA-mRNA interaction networkmicroRNAmedicineHumansGene Regulatory NetworksRNA MessengerPhysical and Theoretical Chemistry10. No inequalityMolecular Biologylcsh:QH301-705.5SpectroscopyAdipocytokine Signaling PathwaymicroRNA; type 2 diabetes mellitus; miRNA-mRNA interaction network; systematic studymicroRNAbusiness.industryGene Expression ProfilingOrganic ChemistryType 2 Diabetes MellitusGeneral Medicinemedicine.diseaseComputer Science ApplicationsMicroRNAs030104 developmental biologyDiabetes Mellitus Type 2Gene Expression Regulationlcsh:Biology (General)lcsh:QD1-999Organ SpecificityRNA InterferenceDisease manifestationbusinessTranscriptomeSignal TransductionInternational Journal of Molecular Sciences
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