• Title/Summary/Keyword: genetic factor

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A genetic map of the R-factor pKU10 isolated from pseudomonas putida (Pseudomonas putida에서 분리한 R-factor pKU 10의 유전자 지도)

  • 임영복;민경미;이영록
    • Korean Journal of Microbiology
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    • v.26 no.3
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    • pp.167-172
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    • 1988
  • A genetic map of the IncP-1 group plasmid pKU10 has been prepared through the construction of recombinant plasmids containing various fragments of pKU10. Phenotypic analysis of these derivatives has identified the location of genes encoding resistance to ampicillin, tetracyclin, and chloramphenicol. The region involved in conferring resistance to ampicillin was located around two PstI sites that are 1.0Kb apart. The tetracyclin resistance gene was mapped on the region of HindIII E fragment and a part of HindIII D fragment, and the determinant for chloramphenicol resistance gene was localized on HindIII D fragment.

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A Taguchi Approach to Parameter Setting in a Genetic Algorithm for General Job Shop Scheduling Problem

  • Sun, Ji Ung
    • Industrial Engineering and Management Systems
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    • v.6 no.2
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    • pp.119-124
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    • 2007
  • The most difficult and time-intensive issue in the successful implementation of genetic algorithms is to find good parameter setting, one of the most popular subjects of current research in genetic algorithms. In this study, we present a new efficient experimental design method for parameter optimization in a genetic algorithm for general job shop scheduling problem using the Taguchi method. Four genetic parameters including the population size, the crossover rate, the mutation rate, and the stopping condition are treated as design factors. For the performance characteristic, makespan is adopted. The number of jobs, the number of operations required to be processed in each job, and the number of machines are considered as noise factors in generating various job shop environments. A robust design experiment with inner and outer orthogonal arrays is conducted by computer simulation, and the optimal parameter setting is presented which consists of a combination of the level of each design factor. The validity of the optimal parameter setting is investigated by comparing its SN ratios with those obtained by an experiment with full factorial designs.

Expression of the Novel Basic Helix-Loop-Helix Gene dHAND in Neural Crest Derivatives and Extraembryonic Membranes during Mouse Development

  • S.I Yun;Kim, S.K;Kim, S.K.;K.T Chang;B.H Hyun;D.S Son;Kim, M.K;D.S Suh
    • Proceedings of the KSAR Conference
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    • 2001.10a
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    • pp.53-54
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    • 2001
  • Expression of HAND genes in sympathetic adrenal lineage suggests that HAND genes may regulate Mash-I independent neuronal genes. HAND genes are also expressed in other cell types, e.g. Cardiac cells, trophoblasts, and decidua, suggesting that HAND genes are not cell fate determination factors. It is unclear how HAND genes function specifically in different types of cells. Combinational actions of HANDs with other cell-lineage specific transcription factor may determine each cell fate and differentiation processes. Identifying the transcription target genes of HANDs and Mash-I will be important to elucidate the function of these bHLH factors in SNS factors in SNS development. (omitted)

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Genetic Variation in Geographically Peripheral Populations of Bupleurum euphorbioides (Apiaceae) with Comparison to a Widespread Congener, B. longiradiatum

  • Kim, Hui;Chang, Chin-Sung
    • Animal cells and systems
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    • v.9 no.1
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    • pp.27-35
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    • 2005
  • Bupleurum euphorbioides is isolated and restricted to high mountains in Korea northeastern China. Its conservation depends on whether it is threatened by inbreeding or a loss of genetic diversity. We compared the genetic variability in B. euphorbioides with B. longiradiatum, a widespread congener, to understand how they differ in their population genetic structure. Although B. euphorbioides showed a little lower genetic variability than B. longiradiatum, $F_{IS}$ statistics for most loci were strongly positive in both B. euphorbioides (0.445) and B. longiradiatum (0.553). In addition, B. euphorbioides showed higher mean $F_{ST}$ value than B. longiradiatum (0.297 vs 0.194). It might be due to the polycarpic nature of B. longiradiatum, which holds higher genetic potentials effectively in homogeneous environment than the monocarpic B. euphorbioides. The results suggested that B. euphorbioides is a genetically viable species, and that they are threatened primarily by environmental factor.

(Pattern Search for Transcription Factor Binding Sites in a Promoter Region using Genetic Algorithm) (유전자 알고리즘을 이용한 프로모터 영역의 전사인자 결합부위 패턴 탐색)

  • 김기봉;공은배
    • Journal of KIISE:Software and Applications
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    • v.30 no.5_6
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    • pp.487-496
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    • 2003
  • The promoter that plays a very important role in gene expression as a signal part has various binding sites for transcription factors. These binding sites are located on various parts in promoter region and have highly conserved consensus sequence patterns. This paper presents a new method for the consensus pattern search in promoter regions using genetic algorithm, which adopts the assumption of N-occurrence-per-dataset model of MEME algorithm and employs the advantage of Wataru method in determining the pattern length. Our method will be employed by genome researchers who try to predict the promoter region on anonymous DNA sequence and to find out the binding site for a specific transcription factor.

Optimization of Fuzzy Systems by Means of GA and Weighting Factor (유전자 알고리즘과 하중값을 이용한 퍼지 시스템의 최적화)

  • Park, Byoung-Jun;Oh, Sung-Kwun;Ahn, Tae-Chon;Kim, Hyun-Ki
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.6
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    • pp.789-799
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    • 1999
  • In this paper, the optimization of fuzzy inference systems is proposed for fuzzy model of nonlinear systems. A fuzzy model needs to be identified and optimized by means of the definite and systematic methods, because a fuzzy model is primarily acquired by expert's experience. The proposed rule-based fuzzy model implements system structure and parameter identification using the HCM(Hard C-mean) clustering method, genetic algorithms and fuzzy inference method. Two types of inference methods of a fuzzy model are the simplified inference and linear inference. in this paper, nonlinear systems are expressed using the identification of structure such as input variables and the division of fuzzy input subspaces, and the identification of parameters of a fuzzy model. To identify premise parameters of fuzzy model, the genetic algorithms is used and the standard least square method with the gaussian elimination method is utilized for the identification of optimum consequence parameters of fuzzy model. Also, the performance index with weighting factor is proposed to achieve a balance between the performance results of fuzzy model produced for the training and testing data set, and it leads to enhance approximation and predictive performance of fuzzy system. Time series data for gas furnace and sewage treatment process are used to evaluate the performance of the proposed model.

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Congenital Heart Disease in Siblings (형제에서 발생한 선천성 심장질환)

  • Park, Pyowon;Hong, Jang-Su;Suh, Kyung-Pill
    • Journal of Chest Surgery
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    • v.14 no.1
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    • pp.87-90
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    • 1981
  • Genetic and environmental factors are the two areas which have received attention in the etiology of congenital cardiac malformation. Genetic factor in many types of congenital heart disease have not been clearly delineated. Congenital heart diseases are a heterogenous category of developmental anomalies, representing in most cases the multifactorial inheritance of threshold characters, the expression of which is the product of a genetic - environmental interaction. Recently we experienced three pairs of congenital heart disease in siblings including ventricular septal defects in twin.

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