• KSBB Journal
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• v.24 no.2
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• pp.113-121
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• 2009

As one of the new areas of 'omics' technology, there is increasing interest in metabolomics, which involves the analysis of low-molecular-weight compounds in cells, tissues, and biofluids, and considers interactions within various organisms and reactions of external chemicals with those organisms. However, metabolomics research is still at a fundamental stage in Korea. Therefore, the purpose of this study was to establish a strategic long-term plan to revitalize the national metabolomics approach and obtain the elementary data necessary to determine a policy for effectively supporting metabolomics research. These investigations clarified the state of metabolomics study both in Korea and internationally, from which we attempted to find the potentiality and fields where a metabolomics approach would be applicable, such as in medical science. We also discuss strategies for developing metabolomics research. This study revealed that promoting metabolomics in Korea requires cooperation with metabolomics researchers, acquisition of advanced technology, capital investment in metabolomics approach, establishment of metabolome database, and education of metabolome analysis experts. This would reduce the gap between the national and international levels of metabolomics research, with the resulting developments in metabolomics having the potential to greatly contribute to promoting biotechnology in Korea.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.2
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• pp.179-186
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• 2014

Metabolomics is the study of changes in the metabolic status of an organism as a consequence of drug treatment, environmental influences, nutrition, lifestyle, genetic variations, toxic exposure, disease, stress, etc, through global or comprehensive identification and quantification of every single metabolite in a biological system. Since most chronic diseases have been demonstrated to be linked to nutrition, nutritional metabolomics has great potential for improving our understanding of the relationship between disease and nutritional status, nutrient, or diet intake by exploring the metabolic effects of a specific food challenge in a more global manner, and improving individual health. In particular, metabolite profiling of biofluids, such as blood, urine, or feces, together with multivariate statistical analysis provides an effective strategy for monitoring human metabolic responses to dietary interventions and lifestyle habits. Therefore, studies of nutritional metabolomics have recently been performed to investigate nutrition-related metabolic pathways and biomarkers, along with their interactions with several diseases, based on animal-, individual-, and population-based criteria with the goal of achieving personalized health care in the future. This article introduces analytical technologies and their application to determination of nutritional phenotypes and nutrition-related diseases in nutritional metabolomics.

• Journal of Plant Biotechnology
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• v.33 no.3
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• pp.161-169
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• 2006

Plant metabolomics is a plant biology field for identifying all of the metabolites found in a certain plant cell, tissue, organ, or whole plant in a given time and conditions and for studying changes in metabolic profiling as time goes or conditions change. Metabolomics is one of the most recently developed omics for holistic approach to biology and is a kind of systems biology. For holistic approach, metabolomics frequently uses chemometrics or multivariate statistical analysis of metabolic profillings. In plant biology, metabolomics is useful to determine functions of genes often in combination with DHA microarrays by analyzing tagged mutants of the model plants Arabidopsis and rice. This review paper attempted to introduce basic concepts of metabolomics and practical uses of multivariate statistical analysis of metabolic profiling obtained by $^1$H HMR and Fourier transform infrared spectrometry.

• The Microorganisms and Industry
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• v.39 no.1
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• pp.5-8
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• 2013

• Bulletin of Food Technology
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• v.18 no.1
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• pp.3-15
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• 2005

최근 들어 게놈기능연구는 주요국가의 새로운 국가적 연구표적으로 지정되면서 유전자기반 생물산업의 핵심으로 부각되고 있다. 이러한 발전은인간(2001년 2월 인간 게놈의 초안 발표)을 비롯한 생물체의 게놈구조가 규명되어 이 유전자구조정보를 web상에서 쉽게 알아낼 수 있는데서 비롯된다. 포스트게놈시대의 게놈기능연구를 총괄적으로 '기능유전체학 (Functional Genomics)'이라고하며 여기에는 핵산(DNA나 RNA)을 표적으로 게놈기능을 연구하는 genomics(유전체학, RNA발현을 대상으로 하는 transcriptomics(전사체학) 포함), 총체적인 단백체를 대상으로 유전자기능을 연구하는 proteomics(단백질체학) 및 대사물질을 대상으로 하는 metabolomics(대사체학), 이들 분야를 공통적으로 지원하는 bioinformatics(생물정보학)로 구분된다. 본 고에서는 프로테오믹스 분야를 중심으로 소개하고자 한다.

• Bulletin of Food Technology
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• v.22 no.1
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• pp.69-77
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• 2009

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1266-1275
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• 2004

Bioinformatics is concerned with the creation and development of advanced information and computational technologies for problems in biology. It is divided into genomics, proteomics and metabolimics. In metabolimics, an organism is represented by metabolic pathway, i.e., well-displayed graph, and so the graph drawing tool to draw pathway well is necessary to understand it comprehensively. In this paper, we design an improved drawing algorithm. It enhances the readability by making use of the bipartite graph. Also it is possible to draw large graph properly by considering the facts that metabolic pathway graph is scale-free network and is composed of circular components, hierarchic components and linear components.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.325-327
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• 2004

'생물정보학'이란 생물학적 데이터를 처리, 가공하여 정보를 얻어내는 연구 분야로 이 중 대사체학은 대사 경로 네트워크를 가시화하여 생명 활동을 이해하고자 하는 분야로, 대사 경로 내의 흐름을 한 눈에 알 수 있도록 가시화하여 보여 주는 도구가 반드시 필요하다 따라서 본 논문에서는 새로운 '대사 경로 드로잉 알고리즘'을 제안하였다. 대사 경로 그래프의 구조로는 이분 그래프를 이용하여 가독성을 높였으며. 이 그래프가 척도 없는(scale-free) 네트워크 구조라는 것과 구조적으로 환형, 계층적 선형 컴포넌트를 가진다는 것을 고려하여 사이즈가 큰 그래프도 적절하게 드로잉 하도록 하였다.

• Bulletin of Food Technology
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• v.23 no.3
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• pp.357-366
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• 2010