0000000000019507

AUTHOR

Peteris Rucevskis

showing 8 related works from this author

Improving uptake of screening for colorectal cancer: a study on invitation strategies and different test kit use

2015

Objective The aim of this study was to compare the uptake of mail-delivered tests for colorectal cancer screening. We assessed the effect of an advance notification letter and a reminder letter, and analysed the proportion of inappropriately handled tests. Materials and methods Fifteen thousand randomly selected residents of Latvia aged 50–74 years were allocated to receive one of three different test systems: either a guaiac faecal occult blood test (gFOBT) or one of two laboratory-based immunochemical tests (FIT) – FOB Gold or OC-Sensor. Half of the target population received an advance notification letter; all nonresponders were sent a reminder letter. Results The uptake of screening was…

OncologyMalemedicine.medical_specialtygenetic structuresColorectal cancerReminder Systemseducationcolorectal cancer screeningfaecal occult blood testSpecimen HandlingRandom AllocationInternal medicinemedicinePostal serviceOriginal Articles: Colorectal CancerHumansPostal ServiceEarly Detection of CancerAgedRandom allocationGynecologyHepatologybusiness.industryImmunochemistryGastroenterologyMiddle AgedPatient Acceptance of Health Caremedicine.diseasefaecal immunochemical testCorrespondence as TopicLatviaadvance notification letterTest (assessment)Colorectal cancer screeninguptakeOccult BloodFemaleFaecal occult blood testbusinessColorectal NeoplasmsGuaiacEuropean Journal of Gastroenterology & Hepatology
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Characteristic Topological Features of Promoter Capture Hi-C Interaction Networks

2020

Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis of Hi-C data to identify the biologically significant features, many questions still remain open. In this paper we describe analysis methods of Hi-C (specifically PCHi-C) interaction networks that are strictly focused on topological properties of these networks. The main questions we are trying to answer are: (1) can topological properties of interaction networks for different cell types alone be sufficient to distinguish between these types, and what the most important of such propert…

Chromosome conformation captureBroad spectrumCurrent (mathematics)Biological significanceComputer scienceStructure (category theory)Topological graph theoryTopologyGenomeAnalysis method
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PASSIM – an open source software system for managing information in biomedical studies

2007

Abstract Background One of the crucial aspects of day-to-day laboratory information management is collection, storage and retrieval of information about research subjects and biomedical samples. An efficient link between sample data and experiment results is absolutely imperative for a successful outcome of a biomedical study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but often implies sufficient investment of time, effort and funds, which are not always available. There is a clear need for lightweig…

Information managementBiomedical ResearchDatabases FactualMedical Records Systems ComputerizedComputer scienceBiomedical EngineeringInformation Storage and RetrievalSample (statistics)lcsh:Computer applications to medicine. Medical informaticsBiochemistryWorld Wide WebUser-Computer InterfaceDocumentationSoftwareArtificial IntelligenceStructural BiologyConfidentialitylcsh:QH301-705.5Molecular BiologyClinical Trials as Topicbusiness.industryApplied MathematicsSubject (documents)Computer Science ApplicationsManagement information systemslcsh:Biology (General)Database Management Systemslcsh:R858-859.7Programming LanguagesUser interfacebusinessSoftware
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Graph-based network analysis of transcriptional regulation pattern divergence in duplicated yeast gene pairs

2019

The genome and interactome of Saccharomyces cerevisiae have been characterized extensively over the course of the past few decades. However, despite many insights gained over the years, both functional studies and evolutionary analyses continue to reveal many complexities and confounding factors in the construction of reliable transcriptional regulatory network models. We present here a graph-based technique for comparing transcriptional regulatory networks based on network motif similarity for gene pairs. We construct interaction graphs for duplicated transcription factor pairs traceable to the ancestral whole-genome duplication as well as other paralogues in Saccharomyces cerevisiae. We c…

0303 health sciencesGene regulatory networkComputational biologyBiologyGenomeInteractomeGenetic divergence03 medical and health sciencesNetwork motif0302 clinical medicineGene duplicationDivergence (statistics)Gene030217 neurology & neurosurgery030304 developmental biologyProceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics
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Layout algorithms of graph-like diagrams for GRADE windows graphic editors

1996

We propose a set of layout operations ensuring flexible and convenient interactive editing of communication diagrams and nested entity-relationship models having textual labels on connections. The set includes several procedures for incremental diagram layout. Tools for fully automatic layout and for direct manual painting of graphic primitives are also integrated in a single system. In this way we have filled to some extent the gap between both extremal levels of editing.

Layout algorithmPaintingComputer scienceComputer graphics (images)Fully automaticGraph (abstract data type)Interactive editing
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Graph-based characterisations of cell types and functionally related modules in promoter capture Hi-C Data

2019

Cell typeComputer scienceGraph basedComputational biology
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Topological structure analysis of chromatin interaction networks.

2019

Abstract Background Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis of Hi-C data to identify biologically significant features, many questions still remain open, in particular regarding potential biological significance of various topological features that are characteristic for chromatin interaction networks. Results It has been previously observed that promoter capture Hi-C (PCHi-C) interaction networks tend to separate easily into well-defined connected components that can be related to certain biological functionality, however, …

Chromatin interaction networksFunctionally related modulesComputer scienceCellStructure (category theory)Topologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeChromosome conformation capture03 medical and health sciences0302 clinical medicineGraph topologyStructural BiologyComponent (UML)medicineHumansGene Regulatory NetworksCell type specificityPromoter Regions GeneticMolecular Biologylcsh:QH301-705.5030304 developmental biologyConnected component0303 health sciencesApplied MathematicsResearchChromatinComputer Science ApplicationsChromatinHematopoiesisIdentification (information)medicine.anatomical_structurelcsh:Biology (General)Gene Expression RegulationTopological graph theorylcsh:R858-859.7DNA microarray030217 neurology & neurosurgeryAlgorithmsBMC bioinformatics
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Network motif-based analysis of regulatory patterns in paralogous gene pairs

2020

Current high-throughput experimental techniques make it feasible to infer gene regulatory interactions at the whole-genome level with reasonably good accuracy. Such experimentally inferred regulatory networks have become available for a number of simpler model organisms such as S. cerevisiae, and others. The availability of such networks provides an opportunity to compare gene regulatory processes at the whole genome level, and in particular, to assess similarity of regulatory interactions for homologous gene pairs either from the same or from different species. We present here a new technique for analyzing the regulatory interaction neighborhoods of paralogous gene pairs. Our central focu…

0303 health sciencesGenomeGene regulatory networkComputational BiologyWhole genome duplicationSaccharomyces cerevisiaeComputational biologyParalogous GeneBiologyBiochemistryComputer Science ApplicationsEvolution Molecular03 medical and health sciencesNetwork motif0302 clinical medicineGene DuplicationEscherichia coliAnimalsGene Regulatory NetworksCaenorhabditis elegansMolecular BiologyGene030217 neurology & neurosurgeryTranscription Factors030304 developmental biologyJournal of Bioinformatics and Computational Biology
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