• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.3
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• pp.332-338
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• 2009

Rapid extension of genomic database leads to the remarkable advance of functional genomics. This study proposes a novel methodology of functional analysis using 5-methyltrytophan (5 MT) mutant together with their 2-DE analysis and public microarray database. A total of 24 proteins was changed in 5 MT mutant and four remarkably different expressed proteins were identified. Among them, three spots were converted to Affymetrix probe. A total of 155 microarray samples from Gene Expression Omnibus (GEO) in NCBI was retrieved and followed by constructing gene co-expression networks over a broad range of biological issues through Self-Organising Tree Algorithm. Three co-expressing gene clusters were retrieved and each functional categorization with differential expression pattern was exhibited from 5 MT resistance mutant rice. It was indicated new co-expression networks in the mutant. This study suggests that on investigating possibility which correspond 2-DE to microarray database with their full potential.

• Korean Journal of Plant Resources
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• v.19 no.1
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• pp.174-179
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• 2006

A cDNA library was constructed from leaf samples of 4-year-old Panax ginseng cultured in a field. 3,000 EST from a size selected leaf cDNA library were analyzed. The 349 of 2,896 cDNA clones has related with energy metabolism genes. The 349 known genes were categorized into nine groups according to their functional classification, aerobic respiration(48.4%), accessory proteins of electron transport and membrane associated energy conservation(17.2%), glycolysis and gluconeogenesis(3.4%), electron transport and membrane associated energy conservation(2.9%), respiration(2.0%), glycolysis methylglyoxal bypass(1.7%), metabolism of energy reserves(0.6%) and alcohol fermentation(0.3%).

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.92-92
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• 2018

Silene seulensis Nakai was used as traditional medicines in Korea, we collected plant from demilitarized zone (DMZ). S. seulensis was extracted with 30, 50, and 70% ethanol and partitioned successively with n-hexane, EtOAc, dichloromethane and BuOH. These extracts (30, 50 and 70% ethanol) were evaluated the cytotoxicity on B16F10 and Hacat cell lines. The LC-MS/MS data of each fractions (n-hexane, EtOAc, dichloromethane, and BuOH) were compared with MS library, combined with ultraviolet/visual (UV/Vis) and MS data for faster determine structure by database search results. This led to the identification of four compounds (1-4) from S. seulensis. These compounds was isolated first time from S. seulensis. Their chemical structures are elucidated by combinations of NMR and mass spectrometry techniques.

• Bioinformatics and Biosystems
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• v.2 no.1
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• pp.24-27
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• 2007

Human cell regulatory mechanism is one of suspicious problems among biologists. Here we tried to uncover the human breast cancer cell regulatory mechanism from gene expression data (Marc J. Van de vijver, et. al., 2002) using a module network algorithm which is suggested by Segal, et. al.(2003) Finally, we derived a module network which consists of 50 modules and 10 tree depths. Moreover, to validate this candidate network, we applied a GO enrichment test and known transcription factor-target relationships from Transfac(R) (V. Matys, et. al, 2006) and HPRD database (Peri, S. et al., 2003).

• The Journal of Korea Robotics Society
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• v.11 no.3
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• pp.133-139
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• 2016

Increasing interest of human health, building bio-database (Bio DB) has been become a hot issue in life science. Consequently, Single Cell Analysis (SCA) which can explain biodiversity of lives has been a significant factor for building Bio DB. In numerous studies from these analyses, they have been showed that mechanical properties of cells can serve explanation of biological heterogeneity and criterion of disease states. Therefore, measuring mechanical properties of cells have great potential to be used in bio-medical applications. However, traditionally, many researchers have undergone difficult and time consuming work because handling small sized cells usually requires high-skilled technique. Thus, this paper shows robotized stiffness measurement technique using fixed ended beam sensor, precision motorized stage and substrate which have wall structure.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.211-212
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• 2021

Recently, as interest in health increases, the wearable market that can collect various biometric information is expanding. In addition, telemedicine and healthcare services through these bio-signals are expected to become common. In this paper, we introduce a service that can store bio-signals collected through IoT equipment in a database and monitor them in real time through the web. By implementing a system for collecting and storing biometric data and real-time monitoring, it can be utilized for various health management diagnosis.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.163-167
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• 2007

We propose an XML document storage system, called XDMS (XML Document Management System), by using an object-relational DBMS. XDMS generates object database schema from XML Schema and stores the XML documents in an object-relational database. SAX parser is used for understanding the structure of the XML documents, and XDMS transforms the documents into objects in the database. Experiment shows that object-relational databases provide more efficient storage and query model compared with relational databases.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.166-168
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• 2012

바이오 문헌으로부터의 의미 있는 객체 추출 및 상호작용 관계 추출은 수 많은 바이오 문헌으로부터 유용한 정보를 얻기 위한 필수적인 과정이다. 특히 문헌으로부터 유전자 또는 단백질 이름과 같은 바이오 객체를 정확하게 인지하는 것은 새로운 객체인식의 어려움과 객체를 찾기 위한 특징 패턴의 다양성으로 인해 도전적인 과제로 남아있다. 본 논문에서는 전처리 과정을 거친 문헌 데이터로부터 12개의 의미 있는 속성들을 선택하였다. 선택된 속성에 데이터마이닝 기법중 하나인 속성 추출 기법을 적용하여 객체를 분류하는데 있어 의미 있는 속성들을 추출하였다. 특징 추출 방법과 분류 알고리즘이 분류 성능에 미치는 영향을 평가하기 위해 각 방법의 정확도를 사용하여 분류 성능을 비교였으며, Gain Ratio Attribute Evaluation과 Symmetrical Uncertainty Attribute Evaluation 기법에 의해 추출된 속성이 가장 정확한 분류 성능을 보여주었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.768-770
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• 2015

We performed integration and standardization of the omics data related agriculture. To do this, we requires progressed computational methods and bioinformatics infrastructures for integration, standardization, mining, and analysis. It makes easier biological knowledge to find. we potentialize registration a row and processed data in NABIC (National Agricultural Biotechnology Information Center) and its processed analysis results were offered related researchers. And we also provided various analysis pipelines, NGS analysis (Reference assembly, RNA-seq), GWAS, Microbial community analysis. In addition, the our system was carried out based on the design and build the quality assurance in management omics information system and constructed the infrastructure for utilization of omics analyze system. We carried out major improvement quality of omics information system. First is Improvement quality of registration category for omics based information. Second is data processing and development platform for web UI about related omics data. Third is development of proprietary management information for omics registration database. Forth is management and development of the statistics module producers about omics data. Last is Improvement the standard upload/ download module for Large omics Registration information.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.109.1-109
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• 2003

From the PMMV (pepper mild mottle virus)-inducible ESTs differentially expressed in Capsicum chinense PI257284, we isolated a full-length cDNA (CcPHZF： Capsicum chinense phenazine), encoding a phenazine biosynthesis protein which catalyzes the hydroxylation of phenozine-1-carboxylic acid to 2-hydroxyphenazine-1-carboxylic acid. Phenazine compound has been known to exhibit broad-spectrum of antibiotic activity against various species of bacteria and fungus. The entire region of CcPHZF is 879 bp in length and the open reading frame predicted a polypeptide of 292 amino acids. The homolog of CcPHZF is not Present in database except clones of AC004044 and NM100203 from Arabidopsis with 58 and 59％, respectively. Genomic Southern analysis indicated that the pepper genome contains a single copy of CcPHZF. The CcPHZF was strongly induced in the pepper leaves 3 days after PMMV treatment, when HR occurs on the leaf surface. Characterization of CcPHZF is underway to investigate if the CcPHZF is related to disease resistance against pathogens.