• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.206-210
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• 2004

This paper proposes a new training system for equilibrium sense using unstable platform. This training system for equilibrium sense consists of an unstable platform, a computer interface circuit and software program. Postural instability changes the weighting of different types of sensory information and the state of the equilibrium maintenance system. In order to improve the equilibrium sense, we developed software program such as a block game, sine curve training (SCT) and pingpong game using Visual C++. Using this system and training programs, we performed an experiment to train the equilibrium sense of a subject. To evaluate the effects of balance training, the time maintained on the target and the moving time to the target are measured. As a result, the moving time to the target and time to maintain cursor on the target improved through repeating equilibrium sense training. It was concluded that this system was reliable in the evaluation of equilibrium sense. We expect that this system might be applied to clinical use as an effective balance training system.

• Genomics & Informatics
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• v.18 no.1
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• pp.11.1-11.3
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• 2020

In genome-wide association studies, pathway-based analysis has been widely performed to enhance interpretation of single-nucleotide polymorphism association results. We proposed a novel method of hierarchical structural component model (HisCoM) for pathway analysis of common variants (HisCoM for pathway analysis of common variants [HisCoM-PCA]) which was used to identify pathways associated with traits. HisCoM-PCA is based on principal component analysis (PCA) for dimensional reduction of single nucleotide polymorphisms in each gene, and the HisCoM for pathway analysis. In this study, we developed a HisCoM-PCA software for the hierarchical pathway analysis of common variants. HisCoM-PCA software has several features. Various principle component scores selection criteria in PCA step can be specified by users who want to summarize common variants at each gene-level by different threshold values. In addition, multiple public pathway databases and customized pathway information can be used to perform pathway analysis. We expect that HisCoM-PCA software will be useful for users to perform powerful pathway analysis.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.6
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• pp.885-892
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• 2009

To investigate host defense mechanisms for protecting the mammary gland from mastitis infection, the membrane fraction of mammary tissues from Holstein cows was purified by differential velocity centrifugation, and then the sodium dodecyl sulfate-polyacrylamid gel electrophoresis (SDS-PAGE) separated proteins were identified by ion trap mass spectrometer equipped with a Surveyor high performance liquid chromatography (HPLC) system. A total of 183 proteins were identified. Bioinformatics software was applied to analyse physicochemical characteristics of the identified proteins and to predict biochemical function. These data may provide valuable information to investigate the mechanisms of mammary gland milk secretion and infectious disease, and enable a clear identification of proteins and potential protein targets for therapies.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.221-227
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• 2005

THEMATICS is a simple computational method for predicting functional sites in proteins. The method computes the theoretical titration curves of the ionizable residues of a protein using its 3D structure, determines the residues with perturbed, non-Henderson-Hasselbalch titration behavior, and identifies clusters of these perturbed residues in physical proximity. We have shown previously that this method is highly successful in predicting catalytic sites in enzymes. In the present study, we apply the method to non-catalytic ligand-binding proteins. It is shown that THEMATICS can predict non-catalytic binding sites. The success rate is better than 80 % for a set of 30 non-catalytic, ligand-binding proteins. The application of the method to Glutamine-binding protein from E. coli is discussed in detail.

• Journal of Convergence Society for SMB
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• v.5 no.4
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• pp.17-23
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• 2015

Due to the development of information and communication technology as health care service is popular variety utilizing bioinformatics patient information services are being provided to the patient. In particular, the healthcare utilizing bioinformatics information, and change in a variety of healthcare trends. However, healthcare services using bioinformatics information of the patient and the complexity of the disease, new diseases (SARS, AIDS, etc .) due to the emergence of increasing health care costs and health promotion services provided to patients may not be smooth. In this paper, we propose a model for low-cost health services and medical care of patients bioinformatics fast access to information. The proposed model can be so big a bioinformatics data formation by the patient's patient information anytime / anywhere providing medical services in the home or the nearest hospital for their own disease management. In particular, the proposed model of health care services is characterized improve work efficiency, reducing the burden on hospitals by passing a medical illness to easily analyze patient information.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1271-1279
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• 2018

The telecommunication industry, which has traditionally formed its own market area, has also been affected by the after shock of the digitalization triggered by computer communications. In the telecommunications industry, digitalization or digital services refers to network functional virtualization supported by software defined networks. The digitalization of the telecom industry is changing rapidly, and the participants are not limited to the traditional equipment suppliers and service providers in established market, but includes virtually all social entities. To understand this new change, focusing on whether the traditional equipment suppliers that have traditionally played a pivotal role in the center of change will continue its role in this new era of digitalization or not, and how they are progressing toward end-to-end digital services, the goal of digitalization, will lead us to the good understanding of ongoing digitalization.

• Genomics & Informatics
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• v.15 no.4
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• pp.178-182
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• 2017

Next-generation sequencing (NGS) technology has become a trend in the genomics research area. There are many software programs and automated pipelines to analyze NGS data, which can ease the pain for traditional scientists who are not familiar with computer programming. However, downstream analyses, such as finding differentially expressed genes or visualizing linkage disequilibrium maps and genome-wide association study (GWAS) data, still remain a challenge. Here, we introduce a dockerized web application written in R using the Shiny platform to visualize pre-analyzed RNA sequencing and GWAS data. In addition, we have integrated a genome browser based on the JBrowse platform and an automated intermediate parsing process required for custom track construction, so that users can easily build and navigate their personal genome tracks with in-house datasets. This application will help scientists perform series of downstream analyses and obtain a more integrative understanding about various types of genomic data by interactively visualizing them with customizable options.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.134-138
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• 2005

The design of ion channel targeted library is a valuable methodology that can aid in the selection and prioritization of potential ion channel-likeness for ion-channel-targeted bio-screening from large commercial available chemical pool. The differences of property profiling between the 93 ion-channel active compounds from MDDR and CMC database and the ACDSC compounds were classified by suitable descriptors calculated with preADME software. Through the PCA, clustering, and similarity analysis, the compounds capable of ion channel activity were defined in ACDSC compounds pool. The designed library showed a tendency to follow the property profile of ion-channel active compounds and can be implemented with great time and economical efficiencies of ligand-based drug design or virtual high throughput screening from an enormous small molecule space.

• Genomics & Informatics
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• v.5 no.3
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• pp.129-132
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• 2007

arraylmpute is a software for exploratory analysis of missing data and imputation of missing values in microarray data. It also provides a comparative analysis of the imputed values obtained from various imputation methods. Thus, it allows the users to choose an appropriate imputation method for microarray data. It is built on R and provides a user-friendly graphical interface. Therefore, the users can easily use arraylmpute to explore, estimate missing data, and compare imputation methods for further analysis.

• Reproductive and Developmental Biology
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• v.36 no.4
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• pp.243-248
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• 2012

This study was conducted to find a useful marker for gene polymorphism analysis using Microsatellite marker (MS marker) in Gyeongju Donggyeong dog. Twenty three MS marker analyzed the genetic features of DNA using 100 Gyeongju Donggyeong dogs in Gyeongju area. It was performed multiplex PCR with 3 set primer divided 9, 10 and 4 by analysis of conditions among MS markers. The results were calculated heterozygosity, polymorphic information content (PIC), allele frequency and number of allele at each locus using Microsatellite Toolkit software and Cervus 3.0 program. Total 148 alleles were genotyped to determine and average 6.43 alleles was detected. FH3381 had the highest of 15 alleles and FH2834 had the lowest of 2 alleles. Expected heterozygosity had a wide range from 0.282 to 0.876 and had average value of 0.6496. Also, Observed heterozygosity had a more wide range from 0.200 to 0.950 and had average value of 0.6404. PIC had range from 0.262 to 0.859 and average PIC was calculated 0.606. Especially, FH2998 represented the highest rate of observed heterozygosity of 0.950 and FH3381 represented the highest rate of expected heterozygosity of 0.876 and PIC of 0.859. The use of these markers was considered to be useful to study genetic traits of Gyeongju Donggyeong dog.