Search results for " algorithm"

showing 10 items of 2538 documents

Parasites in the changing world – Ten timely examples from the Nordic-Baltic region

2020

Publisher's version (útgefin grein)

0301 basic medicineOriginal Research articleEpidemiologyHost030231 tropical medicineClimate change:Basale biofag: 470 [VDP]Baseline data030108 mycology & parasitologylcsh:Infectious and parasitic diseasesPeer reviewEuropeParasite03 medical and health sciencesSníklar0302 clinical medicineInfectious DiseasesGeography:Basic biosciences: 470 [VDP]Climate changelcsh:RC109-216ParasitologyLoftslagsbreytingarEnvironmental planningSelection (genetic algorithm)
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Cytoplasmic body myopathy revisited.

2018

0301 basic medicinePathologymedicine.medical_specialtyCytoplasmic bodybusiness.industrymedicine.diseaseCongenital myopathy03 medical and health sciences030104 developmental biology0302 clinical medicineNeurologySkeletal pathologyMuscular DiseasesPediatrics Perinatology and Child HealthMutation (genetic algorithm)MutationmedicineHumansNeurology (clinical)medicine.symptomMyopathybusinessMuscle Skeletal030217 neurology & neurosurgeryGenetics (clinical)Neuromuscular disorders : NMD
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Genetic Testing for Melanoma—Where Are We With Moderate-Penetrance Genes?

2016

International audience

0301 basic medicinePreimplantation genetic haplotypingSkin Neoplasmscdkn2aPenetranceDermatologypolicy statement update03 medical and health sciencesCDKN2ApredisposesmedicineHumansGenetic Predisposition to DiseaseGenetic Testingmitf germline mutationGeneMelanomaComputingMilieux_MISCELLANEOUSGenetic testingriskGeneticsmedicine.diagnostic_testbusiness.industryMelanomamedicine.diseaseMicrophthalmia-associated transcription factorcancer susceptibilityPenetrance030104 developmental biologyMutation (genetic algorithm)Mutationbusiness[ SDV.MHEP.DERM ] Life Sciences [q-bio]/Human health and pathology/Dermatologyamerican-society[SDV.MHEP.DERM]Life Sciences [q-bio]/Human health and pathology/Dermatology
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Familial Central Hypothyroidism Caused by a Novel IGSF1 Gene Mutation.

2016

Congenital hypothyroidism of central origin (CH-C) is a rare disease in which thyroid hormone deficiency is caused by insufficient thyrotropin stimulation of a normal thyroid gland. A recently described syndrome of isolated CH-C and macroorchidism was attributed to loss-of-function mutations of the immunoglobulin superfamily, member 1 gene (IGSF1).CH-C was diagnosed in three siblings. The TRH, TRHR, and TSHB genes were sequenced followed by whole-exome sequencing in the proband. A mutation identified in IGSF1 was analyzed by direct PCR sequencing in family members. The effects of the mutation were assessed by in vitro studies in HEK293 cells.The index case was negative for mutations in TRH,…

0301 basic medicineProbandMaleendocrine systemEndocrinology Diabetes and MetabolismDNA Mutational AnalysisImmunoglobulinsThyrotropin030209 endocrinology & metabolismBiology03 medical and health sciences0302 clinical medicineEndocrinologyHypothyroidismmedicineCentral hypothyroidismCongenital HypothyroidismHumansInsertionThyrotropin-Releasing HormoneGeneticsMacroorchidismReceptors Thyrotropin-Releasing HormoneSiblingsThyroidInfant NewbornInfantMembrane Proteinsmedicine.diseaseMolecular biologyCongenital hypothyroidismIGSF1030104 developmental biologymedicine.anatomical_structureHEK293 CellsChild PreschoolMutation (genetic algorithm)MutationThyroid : official journal of the American Thyroid Association
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Potential treatment strategy for the rare osimertinib resistant mutation EGFR L718Q

2020

Epidermal growth factor receptor (EGFR) L718Q is a rare resistant mutation which independently leads to third-generation tyrosine kinase inhibitor (TKI) resistance. Although a few studies have examined its resistance mechanisms, no effective treatment strategy has yet been proposed for patients with this mutation. Here, we report an effective treatment strategy for the rare EGFR L718Q mutation for the first time. A 44-year-old Chinese male patient initially presented with the sensitizing EGFR L858R mutation, and the progression-free survival (PFS) time after initial icotinib treatment was 9 months. When the progression of the disease (PD) and the EGFR T790M mutation were identified, he did …

0301 basic medicinePulmonary and Respiratory MedicineOncologyiMDT Cornermedicine.medical_specialtymedicine.drug_classmedicine.medical_treatmentnon-small cell lung cancer (NSCLC)Tyrosine-kinase inhibitorTargeted therapy03 medical and health sciencesT790M0302 clinical medicineInternal medicinemedicineOsimertinibEpidermal growth factor receptorbiologybusiness.industrymedicine.disease030104 developmental biology030220 oncology & carcinogenesisMutation (genetic algorithm)Icotinibbiology.proteinbusiness
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P1.13-16 The Diagnostic Accuracy of Circulating Tumor DNA for the Detection of EGFR-T790M Mutation in NSCLC: A Systematic Review and Meta-Analysis

2018

0301 basic medicinePulmonary and Respiratory Medicinebusiness.industryDiagnostic accuracyEGFR T790M03 medical and health sciences030104 developmental biology0302 clinical medicineOncologyCirculating tumor DNA030220 oncology & carcinogenesisMeta-analysisMutation (genetic algorithm)Cancer researchMedicinebusinessJournal of Thoracic Oncology
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RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures

2017

RepeatsDB 2.0 (URL: http://repeatsdb.bio.unipd.it/) is an update of the database of annotated tandem repeat protein structures. Repeat proteins are a widespread class of non-globular proteins carrying heterogeneous functions involved in several diseases. Here we provide a new version of RepeatsDB with an improved classification schema including high quality annotations for ∼5400 protein structures. RepeatsDB 2.0 features information on start and end positions for the repeat regions and units for all entries. The extensive growth of repeat unit characterization was possible by applying the novel ReUPred annotation method over the entire Protein Data Bank, with data quality is guaranteed by a…

0301 basic medicineRepetitive Sequences Amino Acid[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologyBioinformaticsSearch engineAnnotationStructure-Activity Relationship03 medical and health sciences0302 clinical medicineTandem repeatGeneticsAnimalsHumansDatabase IssueDatabases ProteinComputingMilieux_MISCELLANEOUSRepeat unit030304 developmental biology0303 health sciencesInformation retrievalProteinscomputer.file_formatProtein Data BankVisualizationSchema (genetic algorithms)030104 developmental biologyData qualityCorrigendumcomputerSoftware030217 neurology & neurosurgeryNucleic Acids Research
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Cancer: a disease at the crossroads of trade-offs

2017

11 pages; International audience; Central to evolutionary theory is the idea that living organisms face phenotypic and/or genetic trade-offs when allocating resources to competing life-history demands, such as growth, survival, and reproduction. These trade-offs are increasingly considered to be crucial to further our understanding of cancer. First, evidences suggest that neoplastic cells, as any living entities subject to natural selection, are governed by trade-offs such as between survival and proliferation. Second, selection might also have shaped trade-offs at the organismal level, especially regarding protective mechanisms against cancer. Cancer can also emerge as a consequence of add…

0301 basic medicineReproduction (economics)[SDV.CAN]Life Sciences [q-bio]/CancerDiseaseBiologyTrade-offLife history theory[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health sciencesGeneticsmedicinecancertrade‐offEvolutionary dynamicsEcology Evolution Behavior and SystematicsSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUSlife‐history traitsNatural selection[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]Ecology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Cancernatural selectionmedicine.disease3. Good health[ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]030104 developmental biology[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Evolutionary biologyGeneral Agricultural and Biological SciencesReviews and Syntheses
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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
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SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations

2016

Various approaches to calling single-nucleotide variants (SNVs) or insertion-or-deletion (indel) mutations have been developed based on next-generation sequencing (NGS). However, most of them are dedicated to a particular type of mutation, e.g. germline SNVs in normal cells, somatic SNVs in cancer/tumor cells, or indels only. In the literature, efficient and integrated callers for both germline and somatic SNVs/indels have not yet been extensively investigated. We present SNVSniffer, an efficient and integrated caller identifying both germline and somatic SNVs/indels from NGS data. In this algorithm, we propose the use of Bayesian probabilistic models to identify SNVs and investigate a mult…

0301 basic medicineSomatic cellBayesian probabilityBiologyPolymorphism Single NucleotideGermline03 medical and health sciencesGene FrequencyINDEL MutationStructural BiologyModelling and SimulationIndel callingGenetic variationHumansAlleleIndelMolecular BiologyOvarian NeoplasmsGeneticsResearchApplied MathematicsComputational BiologyHigh-Throughput Nucleotide SequencingSNP callingSomatic SNV callingCystadenocarcinoma SerousComputer Science ApplicationsGerm Cells030104 developmental biologyBayesian modelModeling and SimulationMutation (genetic algorithm)FemaleMultinomial distributionAlgorithmsBMC Systems Biology
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