• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.12
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• pp.2819-2827
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• 1997

A dielectric waveguide structure using rectangular dielectic strip is analyzed directly in terms of the wave equation for quasi TE and quasi TE and quasiTM modes. This problem can be solved, with no approximation in the wave equation for the electric field $\vec{E}$ and magnetic field $\vec{H}$ inside and outside the dielectric rectangular waveguide matching the boundary conditions between interfaces. This leads to an eigenvalue problem where spurious modes do not appear. Dispersion characeristic examples are presented for square and rectangular waveguides. The formulation is general and can be used for compuarison with ogher methods such as FDM or FEM in various structures.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.321-322
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• 2018

본 연구는 유전체 분석 연구 중에 중요한 어셈블리 및 분석 시스템을 활용하는 데 있어 많은 연구자들이 컴퓨터 지식의 부족으로 인하여 신속한 분석을 수행하지 못하여 연구에 많은 어려움을 겪고 있어 이를 극복하기 위하여 일반 연구자도 쉽게 유전체를 분석할 수 있도록 다양한 분석방법을 자동으로 제공해주는 사용자 관점의 분석 파이프라인을 설계하고 구현하였다.

• Journal of Korea Multimedia Society
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• v.7 no.3
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• pp.408-417
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• 2004

Genome analysis process requires several steps of various software analysis tools. We propose WGAT(Web-based Genome Analysis Tool), which combines several tools for gene analysis and provides a graphic user interface for users. Software tools related to gene analysis are based on Linux or Unix oriented program, which is difficult to install and use for biologists. Furthermore, files generated from gene analysis frequently require manual transformation for next step input file. Web-based tools which are recently developed process orily one sequence at a time. So it needs many repetitive processes to analyze large size data file. WGAT is developed to support Web-based genome analysis for easy use as well as fast service for users. Whole genome data analysis can be done by running WGAT on Linux server and giving sequence data files with various options. Therefore many steps of the analysis can be done automatically by the system. Simulation shows that WGAT method gives 20 times faster analysis when sequence segment is one thousand.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.107-112
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• 2013

With the progress of NGS technologies, large genome data have been exploded recently. To analyze such data effectively, the assistance of HPC technique is necessary. In this paper, we organized a genome analysis pipeline to call SNP from NGS data. To organize the pipeline efficiently under HPC environment, we analyzed the CPU utilization pattern of each pipeline steps. We found that sequence alignment is computing centric and suitable for parallelization. We also analyzed the performance of parallel open source alignment tools and found that alignment method utilizing many-core processor can improve the performance of genome analysis pipeline.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.217-221
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• 2008

생명공학 기술의 발달로 지놈 프로젝트를 통해 인간 초파리 등 여러 종의 유전체 정보가 밝혀 졌다. 그러나 Post-Genome 연구에 있어서 매우 중요한 생물체인 멍게(Ciona intestinalis)와 성게(Strongylocentrotus purpuratus)의 유전체 서열은 현재 공개되어 있으나 염기서열의 연속성(continuity)에는 심각한 문제점이 존재하고 있다. 이들은 염기서열에 변이가 많은 다염기변이 유전체(polymorphic genomes)로 그 특성이 반영되지 않은 전통적인 Whole Genome Shotgun Sequencing(WGSS)방법을 사용였기 때문이다. 이와 같은 다염기변이 유전체 서열 분석은 시스템 생물학이나 비교 유전체학 등의 후발 연구에 기초가 되므로 매우 중요하다. 본 논문에서는 다염기변이 유전체에 대해 알아보고 서열 조립 알고리즘의 기본이 되는 서열 정렬 툴들 중 가장 많이 사용되는 FASTA, BLAST, BLAT에 대해 분석하여 봄으로써 다염기변이 유전체에 적합한 서열 조립 전략 수립을 위해 고려해야 하는 사항들을 논의해 본다.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1117-1128
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• 2016

In genetic association studies with high-dimensional genomic data, regularization procedures based on penalized likelihood are often applied to identify genes or genetic regions associated with diseases or traits. A network-based regularization procedure can utilize biological network information (such as genetic pathways and signaling pathways in genetic association studies) with an outstanding selection performance over other regularization procedures such as lasso and elastic-net. However, network-based regularization has a limitation because cannot be applied to high-dimension genomic data with a group structure. In this article, we propose to combine data dimension reduction techniques such as principal component analysis and a partial least square into network-based regularization for the analysis of high-dimensional genomic data with a group structure. The selection performance of the proposed method was evaluated by extensive simulation studies. The proposed method was also applied to real DNA methylation data generated from Illumina Innium HumanMethylation27K BeadChip, where methylation beta values of around 20,000 CpG sites over 12,770 genes were compared between 123 ovarian cancer patients and 152 healthy controls. This analysis was also able to indicate a few cancer-related genes.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.23-26
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• 2009

한국인 최초 전체 유전체 서열(KOREF; Koreanindividualgenomesequence) 은 한국인을 위한 참조 서열로써 사용될 수 있다. 2009년 1월에 남성 한국인 유전체를 솔렉사(Solexa)를 통해 전장서열을 결정하였다. 이는 NCBI의 인간게놈프로젝트에서 생산한 게놈의 99.83%를 커버하며, 또한 NCBI게름서열의 약 20배를 커버할 정도의 유전체 서열을 결정하여 매우 높은 정확도를 가진 한국인 고유유전체이다. 한국인 유전체 서열의 분석결과 현재까지 밝혀지지 않았던 한국인 특이적인 3백만 개의 SNP를 밝혀냈다. 먼저 보고된 중국인 게놈은 한국인 게놈과 매우 가까운 민족 그룹임에도 불구하고 38%(3,186,352 SNP중에 1,217,362 SNP) 의 특이적인 차이를 나타내었으며, 또한 미토콘드리아 서열 비교를 통해서도 특이적인 다양성을 보여주는 SNP데이터를 확인 할 수 있었다. 차세대 게놈서열결정의 기술은 적은 노력과 비용으로 인간 유전체 데이터를 얻을 수 있게 되었으며, 이러한 개인유전체 데이터는 개인유전체 의학으로 가는 초석이 될 것이다.

• KIISE Transactions on Computing Practices
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• v.23 no.4
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• pp.250-255
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• 2017

Given the explosion of genomic data and expansion of applications such as precision medicine, the importance of efficient genome-database management continues to grow. Traditional compression techniques may be effective in reducing the size of a database, but a new challenge follows in terms of performing operations such as comparison and searches on the compressed database. Based on that many genome databases typically have numerous duplicated or similar sequences, and that the runtime of genome analyses is normally proportional to the number of sequences in a database, we propose a technique that can compress a genome database by eliminating similar entries from the database. Through our experiments, we show that we can remove approximately 84% of sequences with 1% similarity threshold, accelerating the downstream classification tasks by approximately 10 times. We also confirm that our compression method does not significantly affect the accuracy of taxonomy diversity assessments or classification.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.295-308
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• 2015

We have experienced a substantial improvement in and cost-drop for genotyping that enables genetic epidemiological studies with large-scale genetic data. Genome-wide association studies have identified more than ten thousand causal variants. Many statistical methods based on linear mixed models have been developed for various goals such as estimating heritability and identifying disease susceptibility locus. Empirical results also repeatedly stress the importance of linear mixed models. Therefore, we review the statistical methods related with to linear mixed models and illustrate the meaning of their estimates.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.9-14
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• 2015

In this paper, we analysis the electromagnetic scattering of an arbitrary shape dielectric cube subjected to plane wave incidence in three dimensions. MoM(Method of Moments)in which a surface of a body is divided with small triangular patches and equivalence principle are used to fuse the PMCHW(Poggio, Miller, Chang, Harrington, and Wu) Integral Equations with respect to equivalent currents on a dielectric body. Triangular patch and loop-patch basis functions that is robust in wide frequency ranges are used for MoM formulations. Proposed method is very useful to analysis the induced current of arbitrary dielectric bodies and numerical results for a dielectric cube are presented.