• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.280-282
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• 2004

염기서열의 분석이 유전체에 대한 연구를 가능하게 해 줄 수 있다는 것이 밝혀짐에 따라 다양한 생명체에 대한 유전체 염기서열 분석 도구의 개발이 활발히 진행되었다. 이러한 유전자 예측 도구들은 고유의 단순 텍스트 형식으로 결과를 제공하므로 사용자는 결과를 분석하고 통계정보를 산출하는데 많은 노력이 필요하다. 본 논문에서는 유전자 예측결과를 보다 효율적으로 표현하고 분석하기 위한 XML 기반의 분석도구를 개발하였다. 개발된 시스템은 유전자 예측결과를 효과적으로 표현하는 GenStructML, 이 정보를 분석한 GenPredML과 PredAccuracyML로 구성되어 있다. GenPredML과 PredAccuracyML은 GenStructML에 대하여 뉴클레오티드 수준(nucleotide level), 엑손 수준(exon level) 그리고 신호 수준(signal level)에서의 예측 정확도(Accuracy)를 계산하고 Genbank의 정보와 비교하여 통계정보를 산출함으로써 보다 자세한 정보를 제공한다.

• Korean Journal of Microbiology
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• v.54 no.3
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• pp.188-199
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• 2018

Genomic epidemiology exploits various basic microbial research areas. High-throughput sequencing technologies dramatically have been expanding the number of microbial genome sequences available. Abundant genomic data provide an opportunity to perform strain typing more effectively, helping identify microbial species and strains at a higher resolution than ever before. Genomic epidemiology needs to find antimicrobial resistance genes in addition to standard genome annotations. Strain typing and antimicrobial resistance gene finding are static aspects of genomic epidemiology. Finding which hosts infected which other hosts requires the inference of transient transmission routes among infected hosts. The strain typing, antimicrobial resistance gene finding, and transmission tree inference would allow for better surveillance of microbial infectious diseases, which is one of the ultimate goals of genomic epidemiology. Among several high-throughput sequencing technologies, genomic epidemiology will benefit from the more portability and shorter sequencing time of the Oxford Nanopore Technologies's MinION, the third-generation sequencing technology. Here, this study reviewed computational methods for quantifying antimicrobial resistance genes and inferring disease transmission trees. In addition, the MinION's applications to genomic epidemiology were discussed.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.11a
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• pp.199-200
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• 2007

본 논문에서는 $SiO_2$ Gate 유전체를 대체할 재료의 하나인 $TiO_2$, Gate 유전체의 기판 증착 온도에 따른 특성을 알아보고자 한다. 디바이스의 고집적화가 높아짐에 따라 얇은 두께의 Gate 유전체의 절대적인 필요에 따라 두께를 최소화하면서 유전율은 높아 전기적 특성이 우수한 소재를 찾게 되었다. 본 논문의 실험에서는 비휘발성 메모리 소자 제작시 Gate Blocking Layer 적용을 위해 High-k 물질인 $TiO_2$, 박막 증착 실험을 하였고, APCVD 방법을 사용하여 성장하였다. 증착 온도에 따른 I-V 특성을 분석하고 그에 따른 소자의 물리적 구조를 SEM을 통해 확인하면서 소자 제작시 최적의 온도를 찾고자 하였다.

• Korean Journal of Microbiology
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• v.54 no.3
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• pp.305-307
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• 2018

The whole genome sequencing using PacBio RS II platform was performed for a marine bacterium Pseudoalteromonas donghaensis $HJ51^T$ isolated from East Sea of Korea. As a result, three assembled contigs consisting of a chromosome (size of 3,646,857 bp, and G + C content of 41.8%) and two plasmids (size of 842,855 bp and 244,204 bp, and G + C content of 41.3% and 40.4%, respectively) were obtained. The genome included 4,083 protein coding genes and 127 RNA genes. This result could be used for gene sources of biopolymers degradation and the development as a new host with secretion system similar to Escherichia coli.

• Composites Research
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• v.24 no.2
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• pp.38-45
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• 2011

In this paper, we present an optimization method for the single Dallenbach-layer type microwave absorbers composed of E-glass fabric/epoxy composite laminates. The composite prepreg containing carbon nanotubes (CNT) was used to control the electrical property of the composites laminates. The design technology using the genetic algorithm was used to get the optimal thicknesses of the laminates and the filler contents at various center frequencies, for which the numerical model of the complex permittivity of the composite laminate was incorporated. In the optimal design results, the content of CNT increased in proportion to the center frequency, but, on the contrary, the thickness of the microwave absorbers decreased. The permittivity and reflection loss are measured using vector network analyzer and 7 mm coaxial airline. The influence of the mismatches in between measurement and prediction of the thickness and the complex permittivity caused the shift of the center frequency, blunting of the peak at the center frequency and the reduction of the absorbing bandwidth.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.844-846
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• 2003

국립보건원 유전체연구소는 안산-안성 지역에 거주하는 45세 이상 69세 이하의 성인을 대상으로 고혈압, 당뇨, 골다공증, 천식, 비만 등 한국인의 총 국민의료비용에서 큰 부분을 차지하는 중요 만성질환에 초점을 맞추어 코호트 연구를 수행하고 있다. 이에 검진대상자의 설문 및 임상검사를 통하여 수집되는 개인식별 데이터, 생활습관 데이터 등의 설문정보와 다양한 임상검사정보에 대한 체계적 저장ㆍ관리와 향후 수행될 대규모 정보 분석을 위해 유전체역학 정보 DB를 설계.구축하였다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1095-1106
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• 2014

Symbolic data analysis extends the data mining and exploratory data analysis to the knowledge mining, we can suggest the SDA tree model on clinical and genomic data with new knowledge mining SDA approach. Using SDA application for huge genomic SNP data, we can get the correlation the availability of understanding of hidden structure of HCC data could be proved. We can confirm validity of application of SDA to the tree structured progression model and to quantify the clinical lab data and SNP data for early diagnosis of HCC. Our proposed model constructs the representative model for HCC survival time and causal association with their SNP gene data. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and genomic data under the new statistical theory of knowledge mining with SDA.

• Korean Journal of Microbiology
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• v.54 no.2
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• pp.155-157
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• 2018

Salmonella enterica subsp. enterica serovar Thompson strain MFDS1004024 was isolated from crab-stick in Korean food-borne outbreak in 2014. Here, we present the complete genome sequence of strain MFDS1004024 with a size of 4,742,942 bp and a mean G + C content of 52%. The genome included 4,373 coding sequences, and 22 ribosomal RNA and 84 transfer RNA genes. Also, we found that strain MFDS1004024 has some genes for Salmonella infection and beta-lactam resistance in its genome based on the result of genome analysis.

• Journal of Marine Life Science
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• v.6 no.1
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• pp.38-46
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• 2021

The blood clam, Tegillarca granosa, is economically important in marine bivalve and is used in fisheries industry among western Pacific Ocean Coasts especially in Korea, China, and Japan. The number of chromosomes in the blood clam is known as 2n=38, but the genome size and genetic information of the genome are not still clear. In order to predict the genomic size of the T. granosa, the in-silico analysis analysed the genomic size using short DNA sequence information obtained using the NGS Illumina HiSeq platform. As a result, the genomic size of T. granosa was estimated to be 770.61 Mb. Subsequently, a draft genome assembly was performed through the MaSuRCA assembler, and a simple sequence repeat (SSR) analysis was done by using the QDD pipeline. 43,944 SSRs were detected from the genome of T. granosa and 69.51% di-nucleotide, 16.68% trinucleotide, 12.96% tetra-nucleotide, 0.82% penta-nucleotide, and 0.03% hexa-nucleotide were consisted. 100 primer sets that could be used for genetic diversity studies were selected. In the future, this study will help identify the genetic diversity of T. granosa and population genetic studies, and further identify the classification of origin between homogenous groups.

• Journal of Genetic Medicine
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• v.7 no.2
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• pp.119-124
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• 2010

More than 7,000 rare Mendelian diseases have been reported, but less than half of all rare monogenic disorders has been discovered. In addition, the majority of mutations that are known to cause Mendelian disorders are located in protein-coding regions. Therefore, exome sequencing is an efficient strategy to selectively sequence the coding regions of the human genome to identify novel genes associated with rare genetic disorders. The "exome" represents all of the exons in the human genome, constituting about 1.5% of the human genome. Exome sequencing is carried out by targeted capture and intense parallel sequencing. After the first report of successful exome sequencing for the identification of causal genes and mutations in Freeman Sheldon syndrome, exome sequencing has become a standard approach to identify genes in rare Mendelian disorders. Exome sequencing is also used to search the causal genes and variants in complex diseases. The successful use of exome sequencing in Mendelian disorders and complex diseases will facilitate the development of personalized genomic medicine.