• Journal of the Korean Society of Tobacco Science
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• v.9 no.2
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• pp.37-47
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• 1987

This experiment was conducted to obtain basic information on breeding of flue-cured tabacco varieties . Nine cultivars and partial diallel set of 36 Fl hybrids were grown at Daegu Experiment Station, Korea Ginseng & Tobacco Research Institute in 1983. Partial dominance with high additive gene effect was observed for yield, leaves per plant , days to flower, leaf weight, nicotine and reducing sugar content. partial dominance with additive and dominant gene effect was observed for stalk height , leaf width midrib weight Overdominance with high dominant gene effect was observed for leaf length and midrib width. The directions of dominance were positive for yield, stalk height, leaf weight, leaf length, leaf width, midrib weight, midrib width and reducing sugar content, and the negative was days to flower. The estimates of effective genes were 1 for leaves per plant, 2 for stalk height, days to flower and leaf shape. 3 to 6 for leaf length, leaf width, leaf weight and midrib weight.

• Microbiology and Biotechnology Letters
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• v.21 no.2
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• pp.113-118
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• 1993

Fro the purpose of producing glouse from cellobiose or oligo saccharide and obtaining genetic information of beta-1,4-glucosidase gene, alpha beta-1,4-glucosidase gene of Pseudomonas sp. LBC505, potent cellulase complex and xylanase producing strain, was cloned in Esherichia coli and Bacillus subtilis into pUC19 and pBD64, respectively. Recombinant plasmid pGL1 contained 1.2kb EcoRI fragment was isolated from transformants forming blue color around colony on LB agar plate containing 20 ng/ml of 5-bromo-4-chloro-3-indolyl-beta-D-glucopyranoside(X-glu) and ampicillin.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.630-634
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• 2004

According to the progress of an information-oriented society, more human friendly systems are required. The systems can be implemented by a kind of intelligent algorithms. In this paper we propose the possibility of the implementation of an intelligent algorithm from gene, behavior of human beings, which has some properties such as self organization and self regulation. The regulation of gene behavior is widely analyzed by Boolean network. Also the SORE (Self Organizable and Regulating Engine) is one of those algorithms. This paper does not report detailed research results; rather, it studies the feasibility of gene behavior in biocontrol systems based upon computer simulations.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.474-478
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• 1999

Genetic algorithm is an efficient search method using principles of natural selection and population genetics. In conventional genetic algorithms, however, the size of gene pool should be increased to insure a convergency. Therefore, many memory spaces and much computation time were needed. Also, since child chromosomes were generated by chromosome crossover and gene mutation, the algorithms have a complex structure. Thus, in this paper, a compact stereo matching algorithm using a population-based incremental teaming based on probability vector is proposed to reduce these problems. The PBIL method is modified for matching environment. Since the Proposed algorithm uses a probability vector and eliminates gene pool, chromosome crossover, and gene mutation, the matching algorithm is simple and the computation load is considerably reduced. Even if the characteristics of images are changed, stable outputs are obtained without the modification of the matching algorithm.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.63-76
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• 2006

Several clustering algorithms to analyze gene expression data and cluster validation techniques that assess the quality of their outcomes, have been suggested, but evaluations of these cluster validation techniques have seldom been implemented. In this paper we compared various cluster validity indices for simulation data and real genomic data, and found that Dunn's index is more effective and robust through small simulations and with real gene expression data.

• Environmental Analysis Health and Toxicology
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• v.24 no.1
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• pp.71-77
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• 2009

Adenoviral vector(AdV) has been the most widely used viral vector for delivering an exogenous therapeutic gene to human. As of this date, more clinical trials utilize recombinant AdV to treat cancer and monogenic inherited disease as well as vaccine applications. However, the number of clinical trials had dropped markedly following the tragic death of a patient ongoing an AdV therapy for the treatment of an ornithine transcarbamylase deficiency(OTCD). This review is an attempt to provide the information on toxicity generated by AdVmediated gene transfer. It would serve as a sobering reality to researchers and clinicians exploring the use of AdV, as to the complications involved in human application.

• Genomics & Informatics
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• v.11 no.4
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• pp.191-199
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• 2013

High-throughput next-generation sequencing (NGS) technology produces a tremendous amount of raw sequence data. The challenges for researchers are to process the raw data, to map the sequences to genome, to discover variants that are different from the reference genome, and to prioritize/rank the variants for the question of interest. The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. However, the NGS data analysis is complex and could be overwhelming for researchers who are not familiar with the process. Here, we outline the analysis pipeline and describe some of the most commonly used principles and tools for analyzing NGS data for disease gene identification.

• Molecules and Cells
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• v.42 no.7
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• pp.512-522
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• 2019

Chromosomes located in the nucleus form discrete units of genetic material composed of DNA and protein complexes. The genetic information is encoded in linear DNA sequences, but its interpretation requires an understanding of three-dimensional (3D) structure of the chromosome, in which distant DNA sequences can be juxtaposed by highly condensed chromatin packing in the space of nucleus to precisely control gene expression. Recent technological innovations in exploring higher-order chromatin structure have uncovered organizational principles of the 3D genome and its various biological implications. Very recently, it has been reported that large-scale genomic variations may disrupt higher-order chromatin organization and as a consequence, greatly contribute to disease-specific gene regulation for a range of human diseases. Here, we review recent developments in studying the effect of structural variation in gene regulation, and the detection and the interpretation of structural variations in the context of 3D chromatin structure.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.209-214
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• 2005

Immunoglobulins (IG) , T cell receptors (TR) and major histocompatibility complex (MHC) are major components of the immune system. Their experimentally determined three-dimensional (3D) structures are numerous and their retrieval and comparison is problematic. IMGT, the international ImMunoGeneTics information system$^{\circledR}$(http://imgt.cines.fr), has devised controlled vocabulary and annotation rules for the sequences and 3D structures of the IG TR and MHC. Annotated data from IMGT/3D sructure-DB, the IMGT 3D structure database, are used in this paper to compare 3D structure of the domains and receptor, and to characterize IG/antigen, peptide/MHC and TR/peptide/MHC interfaces. The analysis includes angle measures to assess receptor flexibility, structural superimposition and contact analysis. Up-to-date data and analysis results are available at the IMGT Web site, http://imgt.cines.fr.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1683-1686
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• 2012

In the present case control study mRNA expression of the GSTP1 gene, encoding a phase II enzyme that detoxifies via glutathione conjugation, was investigated using semiquantitative PCR followed by SSCP for 49 confirmed head and neck (HN) cancer and 49 control samples. It was found that GSTP1 was upregulated in significantly higher number of cancers (OR 4.2, 95% CI 1.2-15.3). Grade wise correlation was also observed with more up regulation in patients with more advanced grades of HN carcinomas. We also found that 5 patients showed variation in mRNA with a larger product size than expected. Sequencing revealed insertion of an intronic segment between the $6^{th}$ and $7^{th}$ exon of the GSTP1 gene. Germline screening was performed showing mobility shifts which suggested mutation at the DNA level resulting in intronic portion retention. This study is of prime importance for drug design and treatment selection to overcome increased resistance of HN cancers to drugs due to alteration in the GSTP1 gene.