• Journal of the Korean Home Economics Association
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• v.49 no.8
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• pp.13-24
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• 2011

This paper purports to find the characteristics of blue costumes as expressed in modern fashion. As such, we made an empirical analysis, using 436 works from 2006 S/S through 2010 F/W collections. Result indicated that modernness was emphasized by applying a minimum expressive technique to items of a simple form, and an image of simplicity was emphasized by placing focus on the rational color image of blue. Second, images of blue, such as trust, stability, and success were expressed as refined elegance through the combination of tight silhouettes, glossy and translucent materials, and indirect exposure. Third, natural image was expressed through natural silhouettes, soft or natural materials, gradation of various tones, and natural motif decorations as well as the color itself. Fourth, dynamic image was expressed by introducing fashion items, mostly worn by men only, to simple and tight forms or through the inspiration of a masculine fashion image. Fifth, abstinent image was expressed by using an image of religious apparel or symbols, covering up the body, minimizing details, and using a dark blue tone.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• Molecules and Cells
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• v.26 no.3
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• pp.278-284
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• 2008

An open reading frame, designated GerGTII and located downstream of the polyketide synthase genes, has been identified as a chalcosyltransferase by sequence analysis in the dihydrochalcomycin biosynthetic gene cluster of Streptomyces sp. KCTC 0041BP. The deduced product of gerGTII is similar to several glycosyltransferases, authentic and putative, and it displays a consensus sequence motif that appears to be characteristic of a sub-group of these enzymes. Specific disruption of gerGTII within the S. sp. KCTC 0041BP genome by insertional in-frame deletion method, resulted complete abolishment of dihydrochalcomycin and got the 20-O-mycinosyl-dihydrochalconolide as intermediate product in dihydrochalcomycin biosynthesis which was confirmed by electron spray ionization-mass spectrometry and liquid chromatography-mass spectrometry. Dihydrochalcomycin also was recovered after complementation of gerGTII.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.355-356
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• 2012

후성유전은 DNA 염기 서열이 변화하지 않고 DNA의 메틸화(methyaltion) 및 히스톤 단백질의 변형(modification)등의 후천적 과정에 의해 유전자 발현이 조절되는 현상이다. 특히 DNA 메틸화 정도에 대한 패턴 분석은 후성유전을 이해하는 중요한 접근방법중 하나이다. DNA 메틸화 패턴 분석을 위해 발생에 관련된 123개 유전자들의 -5000bp ~ +200bp사이에 있는 DNA 염기 서열 정보를 추출하였다. 추출한 염기 서열 정보를 기반으로 기존에 알려진 메틸화 경향성 모티프와 메틸화 저항성 모티프를 모니터링 함으로써 발생관련 유전자들의 메틸화 모티프 패턴을 분석하였다. 결과적으로 메틸화 저항 모티프만이 발견되었고 따라서 메틸화 저항 모티프 패턴과 발생관련 유전자들의 상관관계를 분석하였다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.357-358
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• 2012

후성유전은 DNA 염기서열이 변화하지 않은 상태에서 특별한 후성적 조절 기전에 의해 유전자의 발현 양상이 변하는 현상이다. 후성적 조절 기전에는 DNA의 메틸화(methyaltion)와 히스톤 단백질의 변형(modification), non coding RNA에 의한 조절 등이 포함되는데, 이 중 DNA 메틸화 정도에 대한 패턴 분석은 후성유전을 이해하는 중요한 접근방법 중 하나이다. 네트워크와 DNA 메틸화 분석을 위하여 면역관련 264개 유전자들의 -2000bp ~ +200bp사이에 있는 DNA 염기 서열 정보를 추출하였다. 또한 면역관련 단백질들의 상호작용 정보를 이용하여 네트워크를 구축하고 여기에 메틸화 정보를 적용하여 상호작용과 메틸화 모티프와의 관계를 분석하였다. 메틸화 모티프 정보를 적용한 단백질 네트워크에서는 기존 단백질 네트워크보다 더 복잡한 구조를 이루고 있었다. 이러한 구조는 동일한 메틸화 모티프들이 여러 유전자들의 활성을 조절할 것으로 사료된다. 단백질 상호작용 네트워크에 모티프를 적용한 분석은 새로운 후성유전학적 연구를 위한 접근 방법으로 이용될 수 있을 것이다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.133-134
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• 2012

후성유전은 DNA 염기서열이 변화하지 않고 DNA의 메틸화(methylation)및 히스톤 단백질의 변형(modification)등의 후천적 과정에 의해 유전자 발현이 조절되는 현상이다. 특히 DNA 메틸화 정도에 대한 분석은 후성유전을 이해하는 중요한 접근방법 중 하나이다. DNA 메틸화 패턴 분석을 위하여 노화관련 109개 유전자들의 단백질 상호작용 네트워크를 구축하였으며 -3000bp ~ +200bp 사이에 있는 DNA 염기서열 정보를 추출하여 기존에 알려진 메틸화 저항성 (Methylation resistant) 모티프를 네트워크로 구축하였다. 메틸화 모티프기반 단백질 네트워크에서는 기존 단백질 네트워크보다 더 복잡한 구조를 이루고 있었다. 이러한 구조는 동일한 메틸화 모티프들이 여러 유전자들의 활성을 조절할 것으로 추측되며 복잡한 모티프들을 분석하기 위한 방법으로 이용될 수 있을 것이다.

• Magazine of the Korean Society of Agricultural Engineers
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• v.39 no.1
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• pp.41-47
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• 1997

A geographical resource analysis support system (GRASS) was incorporated to an input and output processor for the agricultural nonpoint source pollution (AGNPS) model. The resulting interface system, GIS-AGNPS was a user-friendly, menu-driven system. GIS-AGNPS was developed to automatically process the input and output data from GIS-based data using GRASS and Motif routines. GIS-AGNPS was consisted of GISAGIN which was an input processor for the AGNPS model, GISAGOUT a output processor for the AGNPS and management submodel. The system defines an input data set for AGNPS from attributes of basic and thematic maps. It also provides with editing modes so that users can adjust and detail the values for selected input parameters, if needed. The post-processor at the system displays graphically the outputs from AGNPS, which may he used to identify areas significantly contributing nonpoint source pollution loads.

• Bulletin of the Korean Chemical Society
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• v.24 no.7
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• pp.899-900
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• 2003

• The Research Journal of the Costume Culture
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• v.4 no.1
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• pp.1-14
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• 1996

The purpose of the study is to analyze the dresses appeared in Nogultai. In the analysis of this study names and kinds of fabrics, colors, motifs, places of production and names of dresses were examined. In the study various kinds of fabric colors and motifs of fabrics were appeared in Nogulta. Also a variety of silks such s brocade, damask, plain silks, ra, silk gauze, hemp cloth, cotton cloth, wool and fur were found. Colors of fabrics were of blue, green, indigo blue, red, light blue, brown, yellow, black and white were described. Mostly cleouds, flowers and mixtures of floral designs were used in silk brocades, Walrus was motif the only animal revealed in silk brocade. Nanching, Hanchaw, Suchaw were famous production centers of silk damasks, silk gauge and silk ra. Also Shantung and Suchaw produced good quality plain silk. Various kinds of coats, waded coat, wadded short coat, inner jackets, vest trousers, winter cap were included. Also accessories such as belt, cap, boots, socks, money belt, pouch were described. In addition, cosmetics, cosmetic kits and names of semi precious stones were mentioned. Seasonal garments differed according to kinds of fabrics and materials used. Wadded coat, wadded short coat, vest, winter cap and wool socks appeared as winter wear.

• Genomics & Informatics
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• v.4 no.2
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• pp.87-93
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• 2006

With the rapid development of MS technologiesy, the demands for a more sophisticated MS interpretation algorithm haves grown as well. We have developed a new protein fingerprinting method using a binomial distribution, (fBIND). With the fBIND, we improved the performance accuracy of protein fingerprinting up to the maximum 49% (more than MOWSE) and 2% than(at a previous binomial distribution approach studied by of Wool et al.) as compared to the established algorithms. Moreover, we also suggest a the statistical approach to define the significance of transcription factors and motifs in the identified proteins based on the Gene Ontology (GO). Abbreviations: fBIND, fingerprinting using binomial distribution; GO, Gene Ontology; MS, Mass Spectrometry; PMF, peptide mass fingerprinting; nr, nonredundant; SGD, Saccharomyces Genome Database