• Title/Summary/Keyword: genetic characterization

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Large-scale Genotyping and Genetic Mapping in Plasmodium Parasites

  • Su, Xin-Zhuan;Jiang, Hongying;Yi, Ming;Mu, Jianbing;Stephens, Robert M.
    • Parasites, Hosts and Diseases
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    • v.47 no.2
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    • pp.83-91
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    • 2009
  • The completion of many malaria parasite genomes provides great opportunities for genomewide characterization of gene expression and high-throughput genotyping. Substantial progress in malaria genomics and genotyping has been made recently, particularly the development of various microarray platforms for large-scale characterization of the Plasmodium falciparum genome. Microarray has been used for gene expression analysis, detection of single nucleotide polymorphism (SNP) and copy number variation (CNV), characterization of chromatin modifications, and other applications. Here we discuss some recent advances in genetic mapping and genomic studies of malaria parasites, focusing on the use of high-throughput arrays for the detection of SNP and CNV in the P. falciparum genome. Strategies for genetic mapping of malaria traits are also discussed.

Development and application of inverse model for reservoir heterogeneity characterization using parallel genetic algorithm

  • Kwon Sun-Il;Huh Dae-Gee;Lee Won-Suk;Kim Hyun-Tae;Kim Se-Joon;Sung Won-Mo
    • 한국지구물리탐사학회:학술대회논문집
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    • 2003.11a
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    • pp.719-722
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    • 2003
  • This paper presents the development of reservoir characterization model equipped with parallelized genetic algorithm, and its application for a heterogeneous reservoir system with integration of the well data and multi-phase production data. A parallel processing method performed by PC-cluster was applied to the developed model in order to reduce time for an inverse calculation. By utilizing the developed model, we performed the inverse calculation with the production data obtained from three layered reservoir system to estimate porosity and permeability distribution. As a result, the pressures observed at well almost identical to those calculated by the developed model. Also, it was confirmed that parallel processing could be applied for reservoir characterization study efficiently.

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Hysteresis characterization and identification of the normalized Bouc-Wen model

  • Li, Zongjing;Shu, Ganping
    • Structural Engineering and Mechanics
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    • v.70 no.2
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    • pp.209-219
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    • 2019
  • By normalizing the internal hysteresis variable and eliminating the redundant parameter, the normalized Bouc-Wen model is considered to be an improved and more reasonable form of the Bouc-Wen model. In order to facilitate application and further research of the normalized Bouc-Wen model, some key aspects of the model need to be uncovered. In this paper, hysteresis characterization of the normalized Bouc-Wen model is first studied with respect to the model parameters, which reveals the influence of each model parameter to the shape of the hysteresis loops. The parameter identification scheme is then proposed based on an improved genetic algorithm (IGA), and verified by experimental test data. It is proved that the proposed method can be an efficacious tool for identification of the model parameters by matching the reconstructed hysteresis loops with the target hysteresis loops. Meanwhile, the IGA is shown to outperform the standard GA. Finally, a simplified identification method is proposed based on parameter sensitivity, which indicates that the efficiency of the identification process can be greatly enhanced while maintaining comparable accuracy if the low-sensitivity parameters are reasonably restricted to narrower ranges.

Purification and Characterization of an Intracellular Inulinase from Bacillus sphaericus 188-1

  • Kim, Jae-Ho;Kwak, Yoon-Jin;Lee, Jong-Tae;Park, Shin-Yang;Lee, Jong-Soo
    • Preventive Nutrition and Food Science
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    • v.7 no.4
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    • pp.421-426
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    • 2002
  • In order to obtain basal data for industrial application of inulinase from Bacillus sphaeicus 188-1, its intracellular inulinase was purified by ammonium sulfate fractionation and column chromatography on DEAE-Sephadex A-50 and Sephadex G-100. The enzyme was homogeneous as judged by SDS-polyacrylamide gel electrophoresis, with an apparent molecular weight of 29 kDa. Inulinase activity was optimal at pH 6.5 and 4$0^{\circ}C$. The enzyme activity was significantly inhibited by Cu$^{2+}$, Cd$^{2+}$ and Hg$^{2+}$. The inulinase exhibited an apparent Km value of 0.014% for inulin.