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  • 1
    Publication Date: 2016-03-29
    Description: Regridding geological models to a higher resolution for flow simulation is an important problem in geostatistical modeling. For practical reasons, over a large area, models can only be built at a relatively coarse resolution. Subsequently, the resolution of specified regions of interest must be increased before upscaling for flow modeling. The construction of a high-resolution model of the entire reservoir at the beginning of the evaluation may be impractical because of computational and time constraints. It is standard practice to implement nearest neighbor interpolation to increase the resolution of models. Although it is a simple practical solution, nearest neighbor interpolation introduces spatial continuity artifacts that are often unrealistic. This paper proposes an automatic stochastic regridding approach based on simulation. The simulation is conditioned to the initial coarse resolution model/realization. The process includes the extraction of specified regions of interest, definition of corresponding local variography, and implementation of Sequential Gaussian Simulation (SGS) and/or Sequential Indicator Simulation (SIS) to characterize continuous and categorical variables, respectively. In each specified region, the local variography can be defined by either implementing automatic fitting algorithms or assigning the global variography initially used to build the coarse resolution model. The regridding process is automated. The advantage of this approach over the conventional nearest neighbor interpolation is in the improvement in the realistic spatial variability features of small scale geologic heterogeneity. The benefits of obtaining a proper regridded model are discussed in a case study of a fluvial reservoir in the McMurray formation. One of the main reasons for generating high resolution models is in the appropriate characterization of small scale impermeable geobodies such as remnant shales. The coarse resolution models are not able to properly characterize the small scale geologic features of the shales; more amount of information is required to characterize smaller scale features. The metric of performance considered is the effective vertical permeability. The automated stochastic regridding workflow described in this paper is available on a Fortran platform with additional scripting which will be distributed upon request. Note that the terms "regridding" and "stochastic regridding" are used interchangeably and both refer to the proposed workflow of modeling at higher resolution.
    Print ISSN: 0007-4802
    Electronic ISSN: 0007-4802
    Topics: Geosciences
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  • 2
    Publication Date: 2014-04-18
    Description: Trisomy 21 is the most frequent genetic cause of cognitive impairment. To assess the perturbations of gene expression in trisomy 21, and to eliminate the noise of genomic variability, we studied the transcriptome of fetal fibroblasts from a pair of monozygotic twins discordant for trisomy 21. Here we show that the differential expression between the twins is organized in domains along all chromosomes that are either upregulated or downregulated. These gene expression dysregulation domains (GEDDs) can be defined by the expression level of their gene content, and are well conserved in induced pluripotent stem cells derived from the twins' fibroblasts. Comparison of the transcriptome of the Ts65Dn mouse model of Down's syndrome and normal littermate mouse fibroblasts also showed GEDDs along the mouse chromosomes that were syntenic in human. The GEDDs correlate with the lamina-associated (LADs) and replication domains of mammalian cells. The overall position of LADs was not altered in trisomic cells; however, the H3K4me3 profile of the trisomic fibroblasts was modified and accurately followed the GEDD pattern. These results indicate that the nuclear compartments of trisomic cells undergo modifications of the chromatin environment influencing the overall transcriptome, and that GEDDs may therefore contribute to some trisomy 21 phenotypes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Letourneau, Audrey -- Santoni, Federico A -- Bonilla, Ximena -- Sailani, M Reza -- Gonzalez, David -- Kind, Jop -- Chevalier, Claire -- Thurman, Robert -- Sandstrom, Richard S -- Hibaoui, Youssef -- Garieri, Marco -- Popadin, Konstantin -- Falconnet, Emilie -- Gagnebin, Maryline -- Gehrig, Corinne -- Vannier, Anne -- Guipponi, Michel -- Farinelli, Laurent -- Robyr, Daniel -- Migliavacca, Eugenia -- Borel, Christelle -- Deutsch, Samuel -- Feki, Anis -- Stamatoyannopoulos, John A -- Herault, Yann -- van Steensel, Bas -- Guigo, Roderic -- Antonarakis, Stylianos E -- U54HG007010/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Apr 17;508(7496):345-50. doi: 10.1038/nature13200.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Genetic Medicine and Development, University of Geneva Medical School, University Hospitals of Geneva, 1211 Geneva, Switzerland [2]. ; Department of Genetic Medicine and Development, University of Geneva Medical School, University Hospitals of Geneva, 1211 Geneva, Switzerland. ; Center for Genomic Regulation, University Pompeu Fabra, 08003 Barcelona, Spain. ; Division of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands. ; AneuPath 21, Institut de Genetique Biologie Moleculaire et Cellulaire, Translational medicine and Neuroscience program, IGBMC, ICS, PHENOMIN, CNRS, INSERM, Universite de Strasbourg, UMR7104, UMR964, 1 rue Laurent Fries, 67404 Illkirch, France. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Stem Cell Research Laboratory, Department of Obstetrics and Gynecology, Geneva University Hospitals, 1211 Geneva, Switzerland. ; FASTERIS SA, 1228 Plan-les-Ouates, Switzerland. ; 1] Department of Genetic Medicine and Development, University of Geneva Medical School, University Hospitals of Geneva, 1211 Geneva, Switzerland [2] Swiss Institute of Bioinfomatics, 1211 Geneva, Switzerland. ; DOE Joint Genome Institute, Walnut Creek, California 94598, USA. ; 1] Department of Genetic Medicine and Development, University of Geneva Medical School, University Hospitals of Geneva, 1211 Geneva, Switzerland [2] iGE3 Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24740065" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cells, Cultured ; Chromatin/chemistry/metabolism ; Chromosomes, Human, Pair 21/genetics ; Chromosomes, Mammalian/genetics ; DNA Replication Timing ; Down Syndrome/*genetics/pathology ; Female ; Fetus/cytology ; Fibroblasts ; Gene Expression Regulation/*genetics ; Genome/*genetics ; Histones/chemistry/metabolism ; Humans ; Induced Pluripotent Stem Cells/metabolism ; Lysine/metabolism ; Male ; Methylation ; Mice ; Transcriptome/*genetics ; Twins, Monozygotic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-12-04
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Letourneau, Audrey -- Santoni, Federico A -- Bonilla, Ximena -- Sailani, M Reza -- Gonzalez, David -- Kind, Jop -- Chevalier, Claire -- Thurman, Robert -- Sandstrom, Richard S -- Hibaoui, Youssef -- Garieri, Marco -- Popadin, Konstantin -- Falconnet, Emilie -- Gagnebin, Maryline -- Gehrig, Corinne -- Vannier, Anne -- Guipponi, Michel -- Farinelli, Laurent -- Robyr, Daniel -- Migliavacca, Eugenia -- Borel, Christelle -- Deutsch, Samuel -- Feki, Anis -- Stamatoyannopoulos, John A -- Herault, Yann -- van Steensel, Bas -- Guigo, Roderic -- Antonarakis, Stylianos E -- England -- Nature. 2016 Mar 17;531(7594):400. doi: 10.1038/nature16135. Epub 2015 Dec 2.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26633627" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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