• Title/Summary/Keyword: 유전자 프로그램

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GWB: An integrated software system for Managing and Analyzing Genomic Sequences (GWB: 유전자 서열 데이터의 관리와 분석을 위한 통합 소프트웨어 시스템)

  • Kim In-Cheol;Jin Hoon
    • Journal of Internet Computing and Services
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    • v.5 no.5
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    • pp.1-15
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    • 2004
  • In this paper, we explain the design and implementation of GWB(Gene WorkBench), which is a web-based, integrated system for efficiently managing and analyzing genomic sequences, Most existing software systems handling genomic sequences rarely provide both managing facilities and analyzing facilities. The analysis programs also tend to be unit programs that include just single or some part of the required functions. Moreover, these programs are widely distributed over Internet and require different execution environments. As lots of manual and conversion works are required for using these programs together, many life science researchers suffer great inconveniences. in order to overcome the problems of existing systems and provide a more convenient one for helping genomic researches in effective ways, this paper integrates both managing facilities and analyzing facilities into a single system called GWB. Most important issues regarding the design of GWB are how to integrate many different analysis programs into a single software system, and how to provide data or databases of different formats required to run these programs. In order to address these issues, GWB integrates different analysis programs byusing common input/output interfaces called wrappers, suggests a common format of genomic sequence data, organizes local databases consisting of a relational database and an indexed sequential file, and provides facilities for converting data among several well-known different formats and exporting local databases into XML files.

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The effect of Retinoic Acid on the Pattern Formation of Somite in Xenopus laevis. (Retinoic Acid가 양서류난의 체절 형성에 미치는 영향)

  • 김원숙;정해문
    • The Korean Journal of Zoology
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    • v.37 no.4
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    • pp.545-553
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    • 1994
  • 척추동물의 초기 발생에 관여하는 물질로 알려져 있는 retinoic acid(RA)를 Xenopus 배(embryo)에 처리한 결과, 체절의 형성에 이상 발생이 나타났다 즉 낭배 초기에 RA에 노출된 개체의 체절은 대조군의 화살머리 모양((((() 대신 기등 모양(1111)을 형성하고 있었으며, 고농도일수록 직선에 가까운 모습을 하고 있었다. 신경배 시기에 노출된 개체의 체절은 정상적인 분절이 이루어지지 않았으며, 이들 이상 체질의 위치는 처리 시기에 따라 다르게 나타났으나 농도에는 영향을 받지 않았다. 그러나 분절 과정중 일어나는 체절 세포들의 회전은 RA에 의해 억제되지 않았다. 이와 같은 결과는 체절의 형성에 분절 이전의 세포의 행동을 주도하는 프로그램과 분절을 주도하는 프로그램이 분리되어 있음을 암시한다. 한 가지 특이한 사항은 열처리 등으로 유발된 혼란이 수 개의 체절에 국한되어 나타나는 점과는 달리 RA의 처리는 어느 지점 이 후부터 모든 체절에 혼란을 야기시킨다는 점이다. 이와 같은 연속적인 분절의 흔란 현상은 RA가 다른 저해제에 의해 영향을 받는 유전자의 활동을 조절하는 전 단계의 유전자에 영향을 주기 때문인 것으로 사료된다. 또한 신경배 시기에 RA에 노출된 배의 a-cardiac actin은 정상적으로 발현되는데 비해 낭배 초기에 RA에 노출된 배는 감소된 양의 a-cardiac actin myNA의 축적을 보였다. 그러나 EFI-u은 RA의 처리 시기와는 무관하게 정상적으로 발현되었다.

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Development and validation of a PCR method to discriminate between Branchiostegus japonicus and Branchiostegus albus (옥돔과 옥두어 판별을 위한 PCR 검사법 개발과 검증)

  • Kim, Na-Ye-Seul;Yang, Ji-Young;Kim, Jung-Beom
    • Korean Journal of Food Science and Technology
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    • v.51 no.3
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    • pp.295-299
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    • 2019
  • We developed and validated species-specific primers for Branchiostegus japonicus and Branchiostegus albus to prevent the sale of B. albus as B. japonicus. Primers for B. japonicus and B. albus were designed against the cytochrome b gene. Multiplex PCR showed a 288 bp amplicon for B. japonicus, a 159 bp amplicon for B. albus, and a 502 bp amplicon for the internal control. The PCR product bands for B. japonicus, B. albus, and the internal control were present at 1 ng each. The specificity and sensitivity of the primers developed in this study were validated by testing 38 B. japonicus strains and 13 B. albus strains. Using this monitoring method, fake fish did not appear due to the agreement between the experimental results and the species. Therefore, the developed multiplex PCR method was suitable for differentiating B. japonicus and B. albus.

Optimal Structural Design of Composite Helicopter Blades using a Genetic Algorithm-based Optimizer PSGA (유전자 알고리즘 PSGA를 이용한 복합재료 헬리콥터 블레이드 최적 구조설계)

  • Chang, Se Hoon;Jung, Sung Nam
    • Composites Research
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    • v.35 no.5
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    • pp.340-346
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    • 2022
  • In this study, an optimal structural design of composite helicopter blades is performed using the genetic algorithm-based optimizer PSGA (Particle Swarm assisted Genetic Algorithm). The blade sections consist of the skin, spar, form, and balancing weight. The sectional geometries are generated using the B-spline curves while an opensource code Gmsh is used to discretize each material domain which is then analyzed by a finite element sectional analysis program Ksec2d. The HART II blade formed based on either C- or D-spar configuration is exploited to verify the cross-sectional design framework. A numerical simulation shows that each spar model reduces the blade mass by 7.39% and 6.65%, respectively, as compared with the baseline HART II blade case, while the shear center locations being remain close (within 5% chord) to the quarter chord line for both cases. The effectiveness of the present optimal structural design framework is demonstrated, which can readily be applied for the structural design of composite helicopter blades.

Construction of Gene Network System Associated with Economic Traits in Cattle (소의 경제형질 관련 유전자 네트워크 분석 시스템 구축)

  • Lim, Dajeong;Kim, Hyung-Yong;Cho, Yong-Min;Chai, Han-Ha;Park, Jong-Eun;Lim, Kyu-Sang;Lee, Seung-Su
    • Journal of Life Science
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    • v.26 no.8
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    • pp.904-910
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    • 2016
  • Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The gene network analysis has been performed by diverse types of methods such as gene co-expression, gene regulatory relationships, protein-protein interaction (PPI) and genetic networks. Moreover, the network-based methods were described for predicting gene functions such as graph theoretic method, neighborhood counting based methods and weighted function. However, there are a limited number of researches in livestock. The present study systemically analyzed genes associated with 102 types of economic traits based on the Animal Trait Ontology (ATO) and identified their relationships based on the gene co-expression network and PPI network in cattle. Then, we constructed the two types of gene network databases and network visualization system (http://www.nabc.go.kr/cg). We used a gene co-expression network analysis from the bovine expression value of bovine genes to generate gene co-expression network. PPI network was constructed from Human protein reference database based on the orthologous relationship between human and cattle. Finally, candidate genes and their network relationships were identified in each trait. They were typologically centered with large degree and betweenness centrality (BC) value in the gene network. The ontle program was applied to generate the database and to visualize the gene network results. This information would serve as valuable resources for exploiting genomic functions that influence economically and agriculturally important traits in cattle.

Bio Information Processing Trend: Deciphering microRNA Targets (바이오 정보처리 연구 동향: 미세 RNA 분석을 중심으로)

  • Min, Hye-Young;Yoon, Sung-Roh
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.433-434
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    • 2008
  • 기존의 실험을 통한 전통적인 생물학의 연구와는 달리, 미세 RNA (microRNA)의 연구에 있어 컴퓨터를 통한 프로그램 개발과 정보기술의 이용은 필수 불가결한 요소가 되었다. 컴퓨터를 바탕으로 한 대부분의 연구는 미세 RNA를 발현하는 유전자와 미세 RNA의 타겟 (target)을 예측하는 두가지 분야로 나누어 이루어지고 있다. 본 연구에서는 미세 RNA의 타겟을 예측하는 프로그램 개발시 이용되는 몇 가지 원칙들과 그 원칙들의 문제점을 서술하며, 현재 인터넷상에서 이용 가능한 프로그램들을 소개한다. 또한 컴퓨터를 통해 예측된 미세 RNA 의 타겟을 실험을 통해 검증하는 방법에 대해 논한다.

Shape & Topology Optimum Design of Truss Structures Using Genetic Algorithms (유전자 알고리즘에 의한 트러스의 형상 및 위상최적실계)

  • Park, Choon Wook;Youh, Baeg Yuh;Kang, Moon Myung
    • Journal of Korean Society of Steel Construction
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    • v.13 no.6
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    • pp.673-681
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    • 2001
  • The objective of this study is the development of size, shape and topology discrete optimum design algorithm which is based on the genetic algorithm. The algorithm can perform both shape and topology optimum designs of trusses. The developed algorithm was implemented in a computer program. For the optimum design, the objective function is the weight of trusses and the constraints are stress and displacement. The basic search method for the optimum design is the genetic algorithm. The algorithm is known to be very efficient for the discrete optimization. The genetic algorithm consists of genetic process and evolutionary process. The genetic process selects the next design points based on the survivability of the design points selected form the genetic process. The evolutionary process evaluates the survivability of the design points. The evolutionary process evaluates the survivability of the design points selected form the genetic process. The efficiency and validity of the developed size, shape and topology discrete optimum design algorithm was verified by applying the algorithm to optimum design examples.

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A Study on Development of Program for Estimating Reservoirs Outflow using Genetic Algorithm (유전자알고리즘을 이용한 저수지(貯水池)의 방류량(放流量) 추정(推定) 프로그램 개발 연구)

  • Ahn, Sang-Dae;Kim, Won-Il;Ahn, Byung-Chan;Ahn, Won-Sik
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.6
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    • pp.153-159
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    • 2009
  • In order to estimate release water from reservoirs located on ungaged watersheds, an algorithm was suggested based on hydrologic reservoir routing and real time calibrating watershed parameters. A prototype - simple computer program was developed to implement the algorithm with Genetic Algorithm technic. The program was applied to a mid-size reservoir and its ungauged watershed area using observed rainfall data, spillway gates operation data and reservoir water stage time series data under a existing storm event. The result shows that the algorithm and the prototype would be useful to simulate released water from reservoirs.

Generic Scheduling Method for Distributed Parallel Systems (분산병렬 시스템에서 유전자 알고리즘을 이용한 스케쥴링 방법)

  • Kim, Hwa-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.1B
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    • pp.27-32
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    • 2003
  • This paper presents the Genetic Algorithm based Task Scheduling (GATS) method for the scheduling of programs with diverse embedded parallelism types in Distributed Parallel Systems, which consist of a set of loosely coupled parallel and vector machines connected via high speed networks The distributed parallel processing tries to solve computationally intensive problems that have several types of parallelism, on a suite of high performance and parallel machines in a manner that best utilizes the capabilities of each machine. When scheduling in distributed parallel systems, the matching of the parallelism characteristics between tasks and parallel machines rather than load balancing should be carefully handled with the minimization of communication cost in order to obtain more speedup. This paper proposes the based initialization methods for an initial population and the knowledge-based mutation methods to accommodate the parallelism type matching in genetic algorithms.

A VRP Model for Pickup and Delivery Problem (배달 및 수거를 고려한 차량운송계획모델)

  • 황흥석;조규성;홍창우
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.04a
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    • pp.285-288
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    • 2000
  • 본 연구는 Heuristic 알고리즘 및 유전자알고리즘(GA)을 이용하여 수거(Pickup) 및 배달(Delivery)을 동시에 고려한 통합차량운송계획 모델의 개발이다. 본 연구는 기존의 TSP의 문제를 확장 응용하였으며, 이는 한 Route에서 수거지(Origin)와 운반지(Destination)를 포함하는 수요들을 만족하도록 운반되어야 하는 문제이다. 이러한 통합차량경로계획문제(VRP Vehicle Routing Problem)를 해결하기 위한 접근방법으로 Heuristic 방법을 사용하였으며, 기존의 Saving 알고리즘과 유전자알고리즘(Genetic Algorithm)의 각종 연산자(Operators)들을 계산하여 사용한 TSP문제의 해를 본 연구의 해의 초기해로 사용하였으며 수거 및 배달문제의 특성을 고려하여 해를 구하였다. 본 연구의 결과를 다양한 운송환경에서, 거리산정방법, 가용운송장비 대수, 운송시간의 제한, 물류센터 및 운송지점의 위치 및 수요량 등 다양한 인자들을 고려한 통합시스템으로 프로그램을 개발하고 Sample 문제를 통하여 응용결과를 보였다.

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