• Korean Journal of Ecology and Environment
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• v.51 no.1
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• pp.16-28
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• 2018

Although physiological and ecological characteristics of cyanobacteria have been studied extensively for decades, unknown areas still remain greater than the already known. Recently, the development of omics techniques based on molecular biology has made it possible to view the ecosystem from a new and holistic perspective. The molecular mechanism of toxin production is being widely investigated, by comparative genomics and the transcriptomic studies. Biological interaction between bacteria and cyanobacteria is also explored: how their interactions and genetic biodiversity change depending on seasons and environmental factors, and how these interactions finally affect each component of ecosystem. Bioinformatics techniques have combined with ecoinformatics and omics data, enabling us to understand the underlying complex mechanisms of ecosystems. Particularly omics started to provide a whole picture of biological responses, occurring from all layers of hierarchical processes from DNA to metabolites. The expectation is growing further that algal blooms could be controlled more effectively in the near future. And an important insight for the successful bloom control would come from a novel blueprint drawn by omics studies.

• Journal of Digital Contents Society
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• v.11 no.1
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• pp.99-104
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• 2010

Numerous bio-digital contents have been produced by new technology using biochip and others for analyzing early chemical-induced genes. These contents have little meaning by themselves, and so they should be modified and extracted after consideration of biological meaning. These include genomics, transcriptomics, protenomics, metabolomics, which combined into omics. Omics tools could be applied into toxicology, forming a new field of toxicogenomics. It is possible that approach of toxicogenomics can estimate toxicity more quickly and accurately by analyzing gene/protein/metabolite profiles. These approaches should help not only to discover highly sensitive and predictive biomarkers but also to understand molecular mechanism(s) of toxicity, based on the development of analysing technology. Furthermore, it is important that bio-digital contents should be obtained from specific cells having biological events more than from whole cells. Taken together, many bio-digital contents should be analyzed by careful calculating algorism under well-designed experimental protocols, network analysis using computational algorism and related profound databases.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.157-176
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• 2024

Integrative analysis for better understanding of complex biological systems gains more attention. Observing subjects from various perspectives and conducting integrative analysis of those multiple datasets enables a deeper understanding of the subject. In this paper, we compared two methods that simultaneously consider two datasets gathered from the same objects, canonical correlation analysis (CCA) and co-inertia analysis (CIA). Since CCA cannot handle the case when the data exhibit high-dimensionality, two strategies were considered instead: Utilization of a ridge constant (CCA-ridge) and substitution of covariance matrices of each data to identity matrix and then applying penalized singular value decomposition (CCA-PMD). To illustrate CIA and CCA, both extensions of CCA and CIA were applied to NCI60 cell line data. It is shown that both methods yield biologically meaningful and significant results by identifying important genes that enhance our comprehension of the data. Their results shows some dissimilarities arisen from the different criteria used to measure the relationship between two sets of data in each method. Additionally, CIA exhibits variations dependent on the weight matrices employed.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.134-134
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• 2023

• Journal of Plant Biotechnology
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• v.45 no.3
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• pp.196-206
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• 2018

Dramatic increase in global population accompanied by rapid industrialization in developing countries has led to serious environmental, food, energy, and health problems. The Food and Agriculture Organization of the United Nations has estimated world population will increase to 9.7 billion by 2050 and require approximately 1.7 times more food, and more than 3.5 times energy than that of today. Particularly, sweetpotato is easy to cultivate in unfavorable conditions such as heat, drought, high salt, and marginal lands. In this respect, sweetpotato is an industrially valuable starch crop. To replace crops associated with these food and energy problems, it is necessary to develop new crops with improved nutrients and productivity, that can be grown on marginal lands, including desertification areas using plant biotechnology. For this purpose, exploring useful genes and developing genetically modified crops are essential strategies. Currently, sweetpotato [Ipomoea batatas (L.) Lam.] have been re-evaluated as the best health food and industrial crop that produces starch and low molecular weight antioxidants, such as vitamin A, vitamin E, anthocyanins and carotenoids. This review will focus on the current status of research on sweetpotato biotechnology on omics including genome sequencing, transcriptome, proteomics and molecular breeding. In addition, prospects on molecular breeding of sweetpotato on marginal lands for sustainable development were described.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.223-230
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• 2019

This paper aims to derive the specificity of film music of Baz Luhrmann, a Hollywood film director, focusing on his representative works such as Dancing Heroes, Romeo and Juliet, and Moulin Rouge. Frist, Dancing Heroes captures various dance music genres through dynamic shooting techniques and shows trendy sensibility by using the main theme song 'Time after Time,' sung by the main character, Tina. Second, Romeo and Juliet, the original work of Shakespeare, keeps thier lines and stories while decorating gorgeous fashion and rock music in jukebox style. Also, it is harmonized with the most modern and trendy MTV-style video. Third, Moulin Rouge presents film music through the 'mix and match' method, which consists of jukebox-type trendy songs containing classical back stage musical and Bollywood musical images. In conclusion, the style of Baz Luhrmann has been reborn as a unique way of directing Buz Luhrmann's film music that it is expressed by connecting various juke box style music with amazing visual effect. Through director's style, it is possible to suggest the direction of various film music to the industries.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.363-373
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• 2022

Multi-omics data is difficult to interpret due to the heterogeneity of information by the volume of data, the complexity of characteristics of each data, and the diversity of omics platforms. There is not yet a system for interpreting to visualize research data on environmental diseases concerning environmental harmful substances. We provide MEE, a web-based visualization tool, to comprehensively explore the complexity of data due to the interconnected characteristics of high-dimensional data sets according to exposure to various environmental harmful substances. MEE visualizes omics data of correlation between omics data, subjects and samples by keyword searches of meta data, multi-omics data, and harmful substances. MEE has been demonstrated the versatility by two examples. We confirmed the correlation between smoking and asthma with RNA-seq and Methylation-Chip data, it was visualized that genes (P HACTR3, PXDN, QZMB, SOCS3 etc.) significantly related to autoimmune or inflammatory diseases. To visualize the correlation between atopic dermatitis and heavy metals, we selected 32 genes related immune response by integrated analysis of multi-omics data. However, it did not show a significant correlation between mercury in blood and atopic dermatitis. In the future, should continuously collect an appropriate level of multi-omics data in MEE system, will obtain data to analyze environmental substances and diseases.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.430-454
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• 2007

국가 간의 자유무역협정을 통한 세계 경제는 통합화를 추구하고, 이러한 결과로 국가 또는 기업 간의 경쟁이 점점 가속화되고 있다. 시대적 Paradigm은 세계 경제의 통합과 경쟁 방식의 변화이며, 이러한 가운데 소비자들은 건강과 Wellbeing에 대한 관심이 혁신적으로 증대되고 있다. 특히 U-Health의 필요성 증대, 지속적인 U-Health 시장 수요의 증가의 전망되고 있으며 고령화 사회로 접어들면서 건강관리 비용이 GDP의 7% 상회할 것으로 예측되고 있다. 따라서 국가는 국가 경쟁력을 위해, 지역은 지역 경쟁력을 위해 U-Health 산업의 육성을 간과할 수 없다. 그러므로 본 연구에서는 충북 지역의 독자적 생존노력 강화 차원에서 차별적인 U-Health 서비스의 우수 브랜드 개발을 통하여 지역 경제활성화 방안을 연구하고자 한다. 먼저 충북 지역은 U-Health 분야의 Power Brand 제정을 통한 충북 지역의 U-Health분야의 독자적 경쟁력을 구축할 수 있다. 그렇게 하기 위해서는 U-Health 제품에 대한 효율적 마케팅전략 전개 필요하다. 그러므로 본 연구에서는 SWOT 분석을 통한 경쟁력 확보 전략, STP 분석을 통한 지역 산업화 전략, Marketing Mix 전략을 통한 산업의 활성화 전략을 연구하였다.

• Research in Plant Disease
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• v.21 no.3
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• pp.161-179
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• 2015

Plant have developed sophisticated defence mechanisms against microbial pathogens. The recent accumulated information allow us to understand the nature of plant immune responses followed by recognition of microbial factors/determinants through cutting-edge genomics and multi-omics techniques. However, the practical approaches to sustain plant health using enhancement of plant immunity is yet to be fully appreciated. Here, we overviewed the general concept and representative examples on the plant immunity. The fungal, bacterial, and viral determinants that was previously reported as the triggers of plant immune responses are introduced and described as the potential protocol of biological control. Specifically, the role of chitin, glucan, lipopolysaccharides/extracellular polysaccharides, microbe/pathogen-associated molecular pattern, antibiotics, mimic-phytohormones, N-acyl homoserine lactone, harpin, vitamins, and volatile organic compounds are considered. We hope that this review stimulates scientific community and farmers to broaden their knowledge on the microbial determinant-based biological control and to apply the technology on the integrated pest management program.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.271-272
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• 2012

생명 과학 분야에서 대부분의 연구는 생명 현상의 근본적인 기작을 이해하고 활용하는 것으로써, 이를 위해 다양한 실험을 통해 얻어지는 오믹스 정보를 활용하여 생명 현상을 모델링하여 실험적으로 확인하는 것이 필수적이다. 이를 위한 국내외 기반 연구가 진행되고 있으나 많이 활성화되어 있지 못하며, 아직까지 대규모의 생물학적 반응 네트워크에 대한 시뮬레이션이 불가능하다는 한계가 있다. 본 논문에서는 유전체에서부터 유전자 발현 및 신호전달과정에 이르는 대규모의 세포내 반응을 통합적으로 모델링하고 이를 대규모 컴퓨팅 환경에서 시뮬레이션하기 위한 소프트웨어를 설계하고 구현한다. 이를 통해 기존의 단일 컴퓨팅 기반 분석 시스템에서는 불가능했던 대규모의 생물학적 반응 네트워크에 대한 분석이 슈퍼컴퓨팅자원에 기반을 두어 수행이 가능하므로, 높은 수준의 분석 결과를 도출하는 것이 가능하다.