• KOGO NEWS
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• v.6 no.2
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• pp.6-8
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• 2006

• Korean Journal of Microbiology
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• v.53 no.4
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• pp.337-339
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• 2017

Here we report the draft genome sequence of the Caballeronia sordidicola strain PAMC 26633, isolated from Psoroma species, a lichen material from Barton Peninsula, King George Island in Antarctica. As we have observed in previous genomic studies in the genus Caballeronia from polar lichen, draft genomic sequences of PAMC 26633 had an assortment of genes of ecological importance and of biotechnical potentials, which include diverse metabolic genes for carbohydrates, amino acids, and genes for nitrogen/sulfur metabolisms, stress responses, membrane transporters, antibiotic resistance, and heavy metal resistance. CRISPR genes and sequences were not found and there were some phage remnants and transposons.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.27-32
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• 2005

As a large quantity of Genome sequencing has happened to be done a very much a surprising speed in short period, an automatic genome annotation process has become prerequisite. The most difficult process among with this kind of genome annotation works is to finding out the protein-coding genes within a genome. The main 2 subjects of gene prediction are Eukaryotes and Prokaryotes ; their genes have different structures, therefore, their gene prediction methods will also obviously varies. Until now, it is found that among of the 231 genome sequenced species, 200 have been found to be prokaryotes, therefore, for study of biotechnology studies, through comparative genomics, prokaryotes, rather than eukaryotes could may be more appropriate than eukaryotes. Even more, prokaryotes does not have the gene structure called an intron, so it makes the gene prediction easier. Former prokaryotes gene predictions have been shown to be 80%～ to 90% of accuracy. A recent study is aiming at 100% of gene prediction accuracy. In this paper, especially in the case of the E. coli K-12 and S. typhi genomes, gene prediction accuracy which showed 98.5% and 98.7% was more efficient than previous GLIMMER.

• Korean Journal of Microbiology
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• v.53 no.4
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• pp.344-346
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• 2017

Lactobacillus plantarum is widely found in fermented foods and has various phenotypic and genetic characteristics to adapt to the environment. Here we report the complete annotated genome sequence of the L. plantarum strain JBE245 (= KCCM43243) isolated for malolactic fermentation of apple juice. The genome comprises a single circular 3,262,611 bp chromosome with 2907 coding regions, 45 pseudogenes, and 91 RNA genes. The genome contains 4 malate dehydrogenase genes, 3 malate permease genes and various types of plantaricin-synthesizing genes. These genetic traits meet the selection criteria of the strains that should prevent the spoilage of apple juice during fermentation and efficiently convert malate to lactic acid.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.32 no.3
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• pp.27-32
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• 2014

• Electronics and Telecommunications Trends
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• v.14 no.5 s.59
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• pp.28-33
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• 1999

최근 정보사회에 따른 전파수요가 높아지고 있으며 이에 따른 주파수의 요구가 점차 고주파화되고 있고 미개척분야인 밀리미터파의 개발이 중요한 과제로 대두되고 있다. 본 고에서는 밀리미터파 대역 수동부품용 세라믹 유전체 소재에 관한 동향을 서술하였으며, 이 대역에서 세라믹 소재의 유전특성을 측정, 평가하는 여러 방법 중에서 자유공간법을 이용한 기술에 관하여 소개하고자 한다.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.249-255
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• 2014

Copy number variations(CNVs) are a recently recognized class of human structural variations and are associated with a variety of human diseases, including cancer. To find important cancer genes, researchers identify novel CNVs in patients with a particular cancer and analyze large amounts of genomic and clinical data. We present a tool called CNVDAT which is able to detect CNVs from NGS data and systematically analyze the genomic and clinical data associated with variations. CNVDAT consists of two modules, CNV Detection Engine and Sequence Analyser. CNV Detection Engine extracts CNVs by using the multi-resolution system of scale-space filtering, enabling the detection of the types and the exact locations of CNVs of all sizes even when the coverage level of read data is low. Sequence Analyser is a user-friendly program to view and compare variation regions between tumor and matched normal samples. It also provides a complete analysis function of refGene and OMIM data and makes it possible to discover CNV-gene-phenotype relationships. CNVDAT source code is freely available from http://dblab.hallym.ac.kr/CNVDAT/.

• Korean Journal of Poultry Science
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• v.37 no.3
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• pp.275-282
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• 2010

Chicken is an important livestock as a valuable biomedical model as well as food for human, and there is a strong rationale for improving our understanding on metabolism and physiology of this organism. The first draft of chicken genome assembly was released in 2004, which enables elaboration on the linkage between genetic and metabolic traits of chicken. The objectives of this study were thus to reconstruct metabolic pathway of the chicken genome and to construct a chicken specific pathway genome database (PGDB). We developed a comprehensive genome database for chicken by integrating all the known annotations for chicken genes and proteins using a pipeline written in Perl. Based on the comprehensive genome annotations, metabolic pathways of the chicken genome were reconstructed using the PathoLogic algorithm in Pathway Tools software. We identified a total of 212 metabolic pathways, 2,709 enzymes, 71 transporters, 1,698 enzymatic reactions, 8 transport reactions, and 1,360 compounds in the current chicken genome build, Gallus_gallus-2.1. Comparative metabolic analysis with the human, mouse and cattle genomes revealed that core metabolic pathways are highly conserved in the chicken genome. It was indicated the quality of assembly and annotations of the chicken genome need to be improved and more researches are required for improving our understanding on function of genes and metabolic pathways of avian species. We conclude that the chicken PGDB is useful for studies on avian and chicken metabolism and provides a platform for comparative genomic and metabolic analysis of animal biology and biomedicine.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.426-426
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• 2011

최근 들어 금속물질을 나노미터 단위로 구성할 수 있는 기술이 진보하면서, 금속 나노입자에 의해 발생되는 표면 플라즈몬에 대해서도 다양한 분야의 관심이 집중되고 있다. 유전체 물질을 기지상으로 하는 금속:유전체 나노복합체에서 금속 나노입자는 자유전자들의 집단 진동인 국소표면 플라즈몬 공진(Localized Surface Plasmon Resonance, LSPR)현상에 의해 국부전기장을 증대 시키고, 가시광 및 적외선 영역에서 특성 광흡수 거동을 보인다. 이와 같은 광학적 특성은 금속 나노입자들의 크기, 형태, 그리고 나노입자들의 주변을 구성하는 기지상 물질의 종류에 의해 조절된다. 금속:유전체 나노복합체에 나타나는 이러한 특성은 단순장식코팅 뿐만 아니라 광의 효율적 운용과 광을 매개로 한 기능발현을 필요로 하는 디스플레이, 광학 스위칭 소재 및 태양전지의 효율 향상을 위한 광흡수층 등 매우 다양한 응용이 가능하다. 본 연구에서는 다양한 굴절률을 갖는 재료들 중, 저굴절률을 갖는 SiO2와 고굴절률을 갖는 ZnS-SiO2를 기지상 재료로 선택하여 교번증착 스퍼터링법으로 Ag와 Au입자를 형성시켰다. Ag를 금속나노입자로 갖고, SiO2와 ZnS-SiO2를 기지상으로 하는 금속:유전체 나노복합체에서는 금속나노입자 형성에 따른 뚜렷한 표면 플라즈몬 공진 광흡수 피크가 관찰된 반면 Au나노입자는 기지상에 따라 각기 다른 광흡수 특성을 나타냈는데, SiO2기지상에서 명확한 광흡수 피크를 형성했던 경우와는 달리 ZnS-SiO2기지상에서는 특정파장에서의 흡수피크로 규정되기 어려운 넓은 파장범위에 걸친 완만한 광흡수 피크를 나타냈다. TEM 분석을 통해, ZnS-SiO2 기지상 내의 Au입자는 각각 독립되어 있는 Island형태가 아닌 유전체 기지상과 대칭적으로 혼합된 네트워크 형태의 Bruggeman 기하구조를 구성하고 있음을 확인하였고, 이는 Au입자가 형성되고 성장할 때 Au와 S의 높은 결합에너지로 인해 상당한 젖음 특성을 갖고 성장하였기 때문으로 판단됐다. 따라서 나노복합체를 구성하는 물질간의 광학적 특성뿐만 아니라 기지상 내에서의 금속입자의 성장거동에 대한 연구가 수반되었을 때, 금속:유전체 나노복합체의 표면 플라즈몬 공진 광흡수 특성을 보다 정확하게 제어할 수 있다.

• Clean Technology
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• v.13 no.2
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• pp.115-121
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• 2007

In this study, we analyzed experimently the NO and $SO_2$ removal by the dielectric barrier discharge-photocatalysts hybrid process. The glass spheres were used as a dielectric material for dielectric barrier discharge and the $TiO_2$ photocatalysts were coated onto those spheres by the dip-coating method. The $TiO_2$ particles were coated in the sponge-shape, which has the larger surface area. As the voltage applied to the plasma reactor, the pulse frequency of applied voltage, or the residence time increases, the NO and $SO_2$ removal efficiencies increase. The increase in the supplied concentrations of NO and $SO_2$ leads to the higher energy for NO and $SO_2$ removal and the NO and $SO_2$ removal efficiencies decrease. These experimental results can be used as a basis to design the dielectric barrier discharge-photocatalysts hybrid process to remove NO and $SO_2$.