• Title/Summary/Keyword: 유전코드

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Numerical Analysis of the Complex Permittivity of MWNT added Epoxy Depending on Agglomeration Size (에폭시 내부의 MWNT 응집 크기에 따른 복소유전율 변화의 해석적 관찰)

  • Shin, Jae-Hwan;Jang, Hong-Kyu;Choi, Won-Ho;Song, Tae-Hoon;Kim, Chun-Gon;Lee, Woo-Yong
    • Composites Research
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    • v.27 no.5
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    • pp.190-195
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    • 2014
  • This paper predicts the complex permittivity of MWNT added epoxy depending on agglomeration by numerical analysis. 1wt% MWNT added epoxy specimen is prepared using 3-roll-mill method and its complex permittivity is measured in X-band (8.2~12.4 GHz) using freespace measurement system. The analytic model is comprised of cube epoxy and perfect sphere agglomeration. The complex permittivity of the agglomeration model is predicted by complex permittivity mixing rule using the measured complex permittivity of epoxy and 1 wt% MWNT added epoxy. Commercial electromagnetic analysis software, CST, is used to obtain S-parameter of the analytic model and MATLAB code is used to calculate complex permittivity from the S-parameter. It is confirmed that the complex permittivity increases when the agglomeration size decreases.

A Genetic Algorithm Based Learning Path Optimization for Music Education (유전 알고리즘 기반의 음악 교육 학습 경로 최적화)

  • Jung, Woosung
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.13-20
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    • 2019
  • For customized education, it is essential to search the learning path for the learner. The genetic algorithm makes it possible to find optimal solutions within a practical time when they are difficult to be obtained with deterministic approaches because of the problem's very large search space. In this research, based on genetic algorithm, the learning paths to learn 200 chords in 27 music sheets were optimized to maximize the learning effect by balancing and minimizing learner's burden and learning size for each step in the learning paths. Although the permutation size of the possible learning path for 27 learning contents is more than $10^{28}$, the optimal solution could be obtained within 20 minutes in average by an implemented tool in this research. Experimental results showed that genetic algorithm can be effectively used to design complex learning path for customized education with various purposes. The proposed method is expected to be applied in other educational domains as well.

Genealogical Stratification by Genetic Distance and DNA Haplotrees (DNA 해프로트리와 유전적거리에 의한 가계족보의 계층화)

  • Ryu, Kwang Ryol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.1
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    • pp.65-70
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    • 2020
  • This paper describes hierarchically stratifying and analyzing haplotrees of haplogroups from haplotypes on the Y and X chromosomes of human cells for genetic and Korean traditional and genealogical trees. The specific region is Chungcheong province, and the Y-DNA of the paternal lines has high frequency of O3a∗ and O2b∗ in the O group, and the mtDNA of the maternal line has a relatively high frequency of D∗ and M∗ in the L3 group. Each combination of these constructs the family tree of the father lines and mother lines. Genetic distances using Nei's standard genetic distance, are very close relatives of less than 0.1 and close relatives of 0.1 to 0.8. Provided, the distance is more than 1.0, it is difficult to estimate relatives. STR has the identified kinship, and SNP has the personal genetic identification. A scientific stratification of the Korean genealogical tree is created by the three factors.

Study of Neural Network Training Algorithm Comparison and Prediction of Unsteady Aerodynamic Forces of 2D Airfoil (신경망 학습알고리즘의 비교와 2차원 익형의 비정상 공력하중 예측기법에 관한 연구)

  • Kang, Seung-On;Jun, Sang-Ook;Park, Kyung-Hyun;Jeon, Yong-Hee;Lee, Dong-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.5
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    • pp.425-432
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    • 2009
  • In this study, the ability of neural network in modeling and predicting of the unsteady aerodynamic force coefficients of 2D airfoil with the data obtained from Euler CFD code has been confirmed. Neural network models are constructed based on supervised training process using Levenberg-Marquardt algorithm, combining this into genetic algorithm, hybrid genetic algorithm and the efficiency of the two cases are analyzed and compared. It is shown that hybrid-genetic algorithm is more efficient for neural network of complex system and the predicted properties of the unsteady aerodynamic force coefficients of 2D airfoil by the neural network models are confirmed to be similar to that of the numerical results and verified as suitable representing reduced models.

Randomly Amplified Polymorphic DNA (RAPD) Analysis of the Lisianthus (Eustoma grandiflorum Shinn.) Variants Obtained during Tissue Culture (꽃도라지(Eustoma grandiflorum Shinn.) 조직배양시 발생한 변이체의 RAPD 분석)

  • Cheong, Chang Ho;Yu, Kee Won;Paek, Kee Yoeup
    • Horticultural Science & Technology
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    • v.17 no.3
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    • pp.352-354
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    • 1999
  • Randomly and specifically amplified polymorphic DNA band patterns based on polymerase chain reaction (PCR) analysis were used to assess genetic variation of somaclonal variants obtained from tissue culture of lisianthus (Eustoma grandiflorum). Five different types of variant were classified by morphological characters such as leaflet number, leaf shape, caulicle length, plant height, and leaf area. Five primers out of 20 primers (10 mer) resulted in 34 random amplified DNA fragments with polymorphisms (64.7%) in all tested plants. The dissimilarity coefficient was from 0.71 to 0.91 by UPGMA cluster analysis. Based on the presence of polymorphic bands, normal plant and five somaclonal variants were divided into two groups at the similarity coefficient value of 0.79.

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Genome sequence of Caballeronia sordidicola strain PAMC 26577 isolated from Cladonia sp., an Arctic lichen species (북극 지의류 Cladonia종에서 분리한 Caballeronia sordidicola균주 PAMC 26577의 유전체 서열 분석)

  • Yang, Jhung Ahn;Hong, Soon Gyu;Oh, Hyun-Myung
    • Korean Journal of Microbiology
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    • v.53 no.2
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    • pp.141-143
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    • 2017
  • Caballeronia sordidicola strain PAMC 26577 was isolated from Cladonia sp., a lichen collected from Svalbard Archipelago in the Arctic Ocean. Draft genomic sequences of PAMC 26577 were determined using Illumina and 182 contigs were submitted to GenBank and N50 value was 159,226. The genome of PAMC 26577 was comprised of 8,334,211 base pairs and %G+C content was 59.4. The genome included 8 ribosomal RNA genes and 51 tRNA genes as non-coding sequences. Protein-coding genes were 8,065 in number and they included central metabolism genes as well as butanol/butyrate biosynthesis, polyhydroxybutyrate metabolism, serine cycle methylotrophy genes, and glycogen metabolism. Membrane transporters were more than two-hundreds in number, but sugar phosphotransferase system and TRAP transporters were lacking. PAMC 26577 lacked CRISPR-associated sequences and proteins. No transposable elements were observed and there were only limited number of phage remnant regions with 11 phage-related genes.

Literature and Genomic Narrative: Richard Powers' The Book of Life (문학과 유전체 내러티브 -리차드 파워스의 생명의 책)

  • Song, Taejeong
    • Journal of English Language & Literature
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    • v.53 no.2
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    • pp.243-260
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    • 2007
  • This article explores how Richard Powers' The Gold Bug Variations, an interdisciplinary novel through the new concepts of biocriticism and bioliterature is connected with literature/art and science/technology. Powers uses Edgar Allen Poe's "The Gold Bug" and Johann Sebastian Bach's "The Goldberg Variations" for decoding DNA in order to analogize a genomic metaphor. He imagines literature as "the book of life" genome, written by DNA code due to the complexity and multiplicity of the genome. His novel, as 'genomic narrative,' shows the articulation of the genomic reading, and expression in the life language through the discourses of the information technology and the rhetorical tropes in biology. New biological ideas are continually required to articulate these processes. In the present tendency of the Human Genome Project, such advanced devices as biocybernetics offer the potential to open up new possibilities to researching the complexity of the genome. This can only happen if the following two ideas are followed: One is to comply with advanced technologies for processing the rapidly increasing data of the genome sequence; The other is to admit the necessary paradigm shift in biology. As shown above, the complexity and multiplicity of the genomic reality is not so simple. We must go beyond determinism, even if representation of a biological reality reveals the possibility of expressing its constituent elements by the advanced biotechnology. Consequently, in the unstoppable advances of the art of decoding the genome, The Gold Bug Variations interrelates to the interdisciplinary approaches through the rhetorical tropes that unfold the complex discursive world of the genome. Powers shows that the complex mechanisms of the genome in the microworld of every cell as the plot of "the book of life" can be designed and written using DNA language. At the same time, his genomic reading and writing demonstrate the historical processes of the shifting center of new genomic development and polysemous interpretation.

CNVDAT: A Copy Number Variation Detection and Analysis Tool for Next-generation Sequencing Data (CNVDAT : 차세대 시퀀싱 데이터를 위한 유전체 단위 반복 변이 검출 및 분석 도구)

  • Kang, Inho;Kong, Jinhwa;Shin, JaeMoon;Lee, UnJoo;Yoon, Jeehee
    • Journal of KIISE:Databases
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    • v.41 no.4
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    • pp.249-255
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    • 2014
  • Copy number variations(CNVs) are a recently recognized class of human structural variations and are associated with a variety of human diseases, including cancer. To find important cancer genes, researchers identify novel CNVs in patients with a particular cancer and analyze large amounts of genomic and clinical data. We present a tool called CNVDAT which is able to detect CNVs from NGS data and systematically analyze the genomic and clinical data associated with variations. CNVDAT consists of two modules, CNV Detection Engine and Sequence Analyser. CNV Detection Engine extracts CNVs by using the multi-resolution system of scale-space filtering, enabling the detection of the types and the exact locations of CNVs of all sizes even when the coverage level of read data is low. Sequence Analyser is a user-friendly program to view and compare variation regions between tumor and matched normal samples. It also provides a complete analysis function of refGene and OMIM data and makes it possible to discover CNV-gene-phenotype relationships. CNVDAT source code is freely available from http://dblab.hallym.ac.kr/CNVDAT/.

Deciphering the Genetic Code in the RNA Tie Club: Observations on Multidisciplinary Research and a Common Research Agenda (RNA 타이 클럽의 유전암호 해독 연구: 다학제 협동연구와 공동의 연구의제에 관한 고찰)

  • Kim, Bong-kook
    • Journal of Science and Technology Studies
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    • v.17 no.1
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    • pp.71-115
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    • 2017
  • In 1953, theoretical physicist George Gamow attempted to explain the process of protein synthesis by hypothesizing that the base sequence of DNA encodes a protein's amino acid sequence and, in response, proposed the nucleic acid-protein information transfer model, which he dubbed the "diamond code." After expressing interest in discussing the daring hypothesis, contemporary biologists, including James Watson, Francis Crick, Sydney Brenner, and Gunther Stent, were soon invited to join the RNA Tie Club, an informal research group that would also count biologists and various researchers in physics, mathematics, and computer engineering among its members. In examining the club's formation, growth, and decline in multidisciplinary research on deciphering the genetic code in the 1950s, this paper first investigates whether Gamow's idiosyncratic approach could be adopted as a collaborative research forum among contemporary biologists. Second, it explores how the RNA Tie Club's research agenda could have been expanded to other relevant research topics needing multidisciplinary approach? Third, it asks why and how the RNA Tie Club dissolved in the late 1950s. In answering those questions, this paper shows that analyses on the intersymbol correlation of the overlapping code functioned to integrate diverse approaches, including sequence decoding and statistical analysis, in research on the genetic code. As those analyses reveal, the peculiar approaches of the RNA Tie Club could be regarded as a useful method for biological research. The paper also concludes that the RNA Tie Club dissolved in the late 1950s due to the disappearance of the collaborative research agenda when the overlapping code hypothesis was abandoned.

Application of DNA Test for Individual Traceability in Hanwoo (Korean Cattle) (한우의 개체 추적 검증을 위한 유전자 감식 기법 활용 연구)

  • 이학교;전광주;공홍식;오재돈;최일신;김종대;조창연;윤두학;신형두
    • Food Science of Animal Resources
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    • v.24 no.1
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    • pp.8-14
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    • 2004
  • Identification of animals has been made with an ear tag with dummy code, and blood typing has been used for paternity and individual identification in live animals. As various genetic markers are for different cattle breeds vary, the discrete genetic markers are necessary to identify Hanwoo. A total of 740 progeny testing Hanwoo were used to identify Hanwoo specific markers. To examine traceability of individuals by using breed specific genetic codes, four animal were randomly sampled, and traced from live animals to post-slaughter processing stages. The candidate genetic makers used in the study were 16 DNA microsatellites which were identified in romosomes 1 and 14. The number of alleles of those DNA microsatellites ranged from a minimum of 3 to maximum of 12. The heterozygote frequency ranged from 0.022 to 0.824. Effective number of alleles for each DNA microsatellites were 3 to 6. Six selected candidate genetic markers were able ti trace individual cattle with an 100% confidence level.