• 과학기술학연구
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• 제3권2호
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• pp.83-104
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• 2003

최근 질병관련 영역 못지않게 유전정보 이용이 눈에 띄게 증가하고 있는 분야가 개인식별 영역이다. 일부 국가에서는 범죄자유전자은행이 구축되어 운영되고 있으며, 군대, 이민국 등에서도 유전정보를 이용하고 있다. 국내에서도 이미 90년대 중반부터 친자확인, 사체확인, 범죄수사에 활용되고 있고 수사기관들은 신원확인을 위한 유전자정보은행을 준비하고 있다. 그런데 질병과 관련된 유전자 검사에 대한 높은 관심과는 달리 유전정보를 개인식별에 이용하는 것에 대해서는 사회적 관심이 별로 높지 않고 법적 윤리적 논의 또한 부족한 상황이다. 그러나 유전정보를 신원확인에 이용하는 과정에서도 개인의 프라이버시 침해, 유전정보의 오남용, 국가의 시민 감시체계확장 등 다양한 문제가 발생할 수 있다. 특히 유전자 감식을 개별적으로 사용하는데 그치지 않고 이를 데이터베이스로 구축할 경우 더욱 다양한 문제들이 발생할 수 있다. 본 논문에서는 그 동안 사회적으로 잘 알려지지 않았던 신원확인 유전자정보은행(DNA databank)의 추진 현황과 사회적 쟁점을 국내 논의 중심으로 살펴보고자 한다. 이를 위해 유전정보의 특징과 수사기관이 추진하고 신원확인 유전자정보은행에 대해서 살펴본다. 이어서 유전자정보은행 구축으로 인해 발생할 수 있는 사회적 문제를 검토해 본 후 논쟁이 건설적으로 이루어지기 위한 방안을 모색한다.

• Asian Journal for Public Opinion Research
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• 제7권2호
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• pp.75-93
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• 2019

Background: Since 2010, Korea has maintained a DNA database of those convicted of or awaiting trial for certain crimes. There have been proposals to expand the list of crimes included in this database, or conversely, omit certain crimes if they are committed during protests. An understanding of the feelings of the public as we consider the ethical, legal, and social aspects of a DNA database and as revisions to laws are made is required. Methodology: Questions related to the DNA database were included in the nationally representative Korean Academic Multimode Open Survey (KAMOS) panel (June-August 2016). Results: Of 2,000 randomly selected panel members, 1,013 respondents participated in this survey, including 89.2% who supported the existence of a criminal DNA database. The current system of storing DNA profiles until a suspect's acquittal or a convict's death was supported by 79.5% of respondents. In addition, 70.8% of respondents agreed with the expansion of crime categories included in the criminal database. Many (93.4%) respondents favored genetic testing and data storage to determine the identity and cause of death for people who die of unnatural causes. Some differences in attitude related to social class were noted, with those who self-identified as members of the upper class more likely to support the database and its expansion to include additional crimes than those who self-identified as middle or lower class. Conclusion: Our findings suggest that Koreans generally support the criminal DNA database.

• 대한의생명과학회지
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• 제28권3호
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• pp.157-169
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• 2022

DNA typing is the typical technology in the forensic science and plays a significant role in the personal identification of victims and suspects. Short tandem repeat (STR) is the short tandemly repeated DNA sequence consisting of 2~7 bp DNA units in specific loci. It is disseminated across the human genome and represents polymorphism among individuals. Because polymorphism is a key feature of the application of DNA typing STR analysis, STR analysis becomes the standard technology in forensics. Therefore, the DNA database (DNA-DB) was first introduced with 4 essential STR markers for the application of forensic science; however, the number of STR markers was expanded from 4 to 13 and 13 to 20 later to counteract the continuously increased DNA profile and other needed situations. After applying expanded STR markers to the South Korean DNA-DB system, it positively affected to low copy number analysis that had a high possibility of partial DNA profiles, and especially contributed to the theft cases due to the high portion of touch DNA evidence in the theft case. Furthermore, STR marker expansion not only contributed to the resolution of cold cases but also increased kinship index indicating the potential for improved kinship test accuracy using extended STR markers. Collectively, the expansion of the STR locus was considered to be necessary to keep pace with the continuously increasing DNA profile, and to improve the data integrity of the DNA-DB.

• 한국자원식물학회지
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• 제35권2호
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• pp.346-361
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• 2022

독성 식물로 인한 식중독 사고는 매년 발생하고 있으며, 일부 독성 식물은 식용 식물로 오인 섭취되어 식중독을 유발하기 때문에 독성 식물의 정확한 종 식별이 요구되고 있다. 이러한 요구에 따라 감정기관에서는 독성 식물의 종 식별에 적합한 DNA 바코드를 찾아 신속하고 정확한 종 식별에 활용할 수 있는 데이터베이스를 구축하는 것이 필요한 실정이다. 따라서 본 연구는 다양한 독성 식물에서 DNA 바코드 구간의 염기서열을 확보하고, 각각에 적합한 DNA 바코드를 확인하여 데이터베이스를 구축하고자 하였으며, 기초 연구로써 제주도에 자생하는 독성식물 19종을 선정하여 7개의 DNA 바코드 (trnH-psbA, trnL-trnF, trnL intron, rbcL, matK, ITS1-ITS4, 18S rRNA)를 이용한 종식별을 수행하였다. 종 식별 결과 trnL-trnF 바코드와 ITS1-ITS4 바코드가 PCR 증폭 및 염기서열 획득에 가장 용이하였으며, 두 개의 바코드를 조합하여 사용하면 19종 중 18종의 식물에서 단일 종 식별이 가능하였다. 따라서 미지의 독성 식물에 대한 감정이 의뢰되었을 때 trnL-trnF 바코드와 ITS1-ITS4 바코드를 조합하여 사용하면 신속한 종 식별에 도움이 될 것으로 사료된다. 본 연구에서 제시된 독성식물 19종의 염기서열 및 DNA 바코드 데이터베이스는 더욱 신속하고 정확한 독성 식물의 종 식별 감정에 도움이 될 것이다.

• 한국균학회소식:학술대회논문집
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• 한국균학회 2014년도 춘계학술대회 및 임시총회
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• pp.17-17
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• 2014

Over five thousand higher fungal specimens were collected from 32 forest areas of Chungcheong and Gyeongsang province from 2012 to 2013. We obtained 513 strains and 3,120 ITS sequences. Mushrooms were first identified with macro- and micro-scopic characters, and their identification was confirmed on the basis of ITS sequences. Voucher specimens were designated for each species found in Korea. Construction of DNA barcoding Database is currently underway with sequences of 409 species. During the development of the database, some new species were recognized, along with several Korean new records. When the system has been completed, it will provide essential molecular information for metagenomic and phylogenetic researches for higher fungi.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.53-62
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• 2006

DNA microarray data analysis is a new technology to investigate the expression levels of thousands of genes simultaneously. Since DNA microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems or that the data are stored to the file format. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system. In this paper, we design and implement network-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.

• Bioinformatics and Biosystems
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• 제1권2호
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• pp.95-98
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• 2006

Recent proteomic studies of protein domains require high-throughput and systematic approaches. Since most experiments using protein domains, the modules of protein-protein interactions, require gene cloning, the first experimental step should be retrieving DNA sequences of domain encoding regions from databases. For a large scale proteomic research, however, it is a laborious task to extract a large number of domain sequences manually from several inter-linked databases. We present a new methodology to retrieve DNA sequences of domain encoding regions through automatic database cross-referencing. To extract protein domain encoding regions, it traverses several inter-connected database with validation process. And we applied this method to retrieve all the EGF domain encoding DNA sequences of homo sapiens. This new algorithm was implemented using Python library PAMIE, which enables to cross-reference across distinct databases automatically.

• Interdisciplinary Bio Central
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• 제2권4호
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• pp.13.1-13.8
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• 2010

The National BioResource Project of Japan is a governmental project to promote domestic/international research activities using biological resources. The project has 27 biological resources including three cereal resources. The core center and sub-center which historically collected the cereal resources were selected for each cereal program. These resources are categorized into several different types in the project; germplasm, genetic stocks, genome resources and database information. Contents of rice resources are wild species, local varieties in East and Southwest Asia & wild relatives, MNU-induced chemical mutant lines, marker tester lines, chromosome substitution lines and other experimental lines. Contents of wheat resources are wild strains, cultivated strains, experimental lines, rye wild and cultivated strains; EST clones and full-length cDNA clones. Contents of barley resources are cultivar and experimental lines, core collection, EST/cDNA clones, BAC clones, their filters and superpool DNA. Each resource is accessible from the online database to see the contents and information about the resources. Links to the genome information and genomic tools are also important function of each database. The major contents and some examples are presented here.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1161-1167
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• 2006

Since microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system, and high cost, etc. In this paper, we design and implement the web-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2001년도 추계학술발표논문집 (상)
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• pp.105-108
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• 2001

cDNA(complementary DNA)를 복제(cloneing)하여 염기 서열화 한 EST(Expressed Sequence Tag) 데이터는 여러 생물체들의 염기서열 정보들과 비교를 통해 유사점을 찾거나 기능적 부위 검색을 통해 유전자 기능을 추정한 수 있어 기능 유전체 연구에 많이 사용되고 있다. EST 데이터를 식물은 특정종(Species)별로, 동물의 경우 종의 조직별로 클러스터링 함으로써 아직 알려지지 않은 종의 유전자를 밝혀낼 수 있음은 물론 유전자의 발현에 따른 단백질의 기능도 알아낼 수 있다. 따라서 이 논문에서는 NCBI에서 flatfile 형태로 제공하는 EST 데이터를 분석하여 관계형 데이터베이스로 모델링하고 구축하였다. 또한 EST 데이터의 효율적인 사용을 위하여 데이터를 특정 종의 조직별로 클러스터링하여 제공하는 시스템을 설계하고 구현하였다.