• Title/Summary/Keyword: DNA Processing

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Device DNA Development Using Wi-Fi RSSI Measured on Device (디바이스 상 측정되는 Wi-Fi 신호강도를 이용한 디바이스 DNA 생성 제안)

  • Hong, Eungi;Kim, Jane;Oh, Mi-Kyoung;Kang, Yousung;Seo, Seung-Hyen
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.178-181
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    • 2019
  • IoT 기술은 대규모의 IoT 네트워크가 디바이스들로부터 수집되는 데이터들을 이용해 서비스를 제공하는 기술이다. 이러한 IoT 네트워크는 디바이스 상호 간 연결되어 있어 네트워크에 포함 되어있는 하나의 디바이스가 가지고 있는 취약점을 이용하면 IoT 네트워크 전체가 공격받을 수 있다. 따라서, IoT 디바이스는 사양의 높고 낮음에 관계없이 전체 네트워크의 보안 수준에 맞추어 보안 강도를 보장받아야 한다. 본 논문에서는 근래에 새롭게 제시된 "디바이스 DNA"를 이용하여 새로운 디바이스 인증 기술을 개발하는 것에 초점을 맞추어, "디바이스 DNA"로 디바이스 상에서 측정되는 Wi-Fi 신호강도(RSSI; Received Signal Strength Indication)를 사용할 수 있는 가능성을 보인다.

Human ChlR1 Stimulates Endonuclease Activity of hFen1 Independently of ATPase Activity

  • Kim, Do-Hyung;Kim, Jeong-Hoon;Park, Byoung Chul;Lee, Do Hee;Cho, Sayeon;Park, Sung Goo
    • Bulletin of the Korean Chemical Society
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    • v.35 no.10
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    • pp.3005-3008
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    • 2014
  • Human ChlR1 protein (hChlR1), a member of the cohesion establishment factor family, plays an important role in the segregation of sister chromatids for maintenance of genome integrity. We previously reported that hChlR1 interacts with hFen1 and stimulates its nuclease activity on the flap-structured DNA substrate covered with RPA. To elucidate the relationship between hChlR1 and Okazaki fragment processing, the effect of hChlR1 on in vitro nuclease activities of hFen1 and hDna2 was examined. Independent of ATPase activity, hChlR1 stimulated endonuclease activity of hFen1 but not that of hDna2. Our findings suggest that the acceleration of Okazaki fragment processing near cohesions may aid in reducing the size of the replication machinery, thereby facilitating its entry through the cohesin ring.

Converting Panax ginseng DNA and chemical fingerprints into two-dimensional barcode

  • Cai, Yong;Li, Peng;Li, Xi-Wen;Zhao, Jing;Chen, Hai;Yang, Qing;Hu, Hao
    • Journal of Ginseng Research
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    • v.41 no.3
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    • pp.339-346
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    • 2017
  • Background: In this study, we investigated how to convert the Panax ginseng DNA sequence code and chemical fingerprints into a two-dimensional code. In order to improve the compression efficiency, GATC2Bytes and digital merger compression algorithms are proposed. Methods: HPLC chemical fingerprint data of 10 groups of P. ginseng from Northeast China and the internal transcribed spacer 2 (ITS2) sequence code as the DNA sequence code were ready for conversion. In order to convert such data into a two-dimensional code, the following six steps were performed: First, the chemical fingerprint characteristic data sets were obtained through the inflection filtering algorithm. Second, precompression processing of such data sets is undertaken. Third, precompression processing was undertaken with the P. ginseng DNA (ITS2) sequence codes. Fourth, the precompressed chemical fingerprint data and the DNA (ITS2) sequence code were combined in accordance with the set data format. Such combined data can be compressed by Zlib, an open source data compression algorithm. Finally, the compressed data generated a two-dimensional code called a quick response code (QR code). Results: Through the abovementioned converting process, it can be found that the number of bytes needed for storing P. ginseng chemical fingerprints and its DNA (ITS2) sequence code can be greatly reduced. After GTCA2Bytes algorithm processing, the ITS2 compression rate reaches 75% and the chemical fingerprint compression rate exceeds 99.65% via filtration and digital merger compression algorithm processing. Therefore, the overall compression ratio even exceeds 99.36%. The capacity of the formed QR code is around 0.5k, which can easily and successfully be read and identified by any smartphone. Conclusion: P. ginseng chemical fingerprints and its DNA (ITS2) sequence code can form a QR code after data processing, and therefore the QR code can be a perfect carrier of the authenticity and quality of P. ginseng information. This study provides a theoretical basis for the development of a quality traceability system of traditional Chinese medicine based on a two-dimensional code.

A Study of a Biological Information Processing for DNA Microarray Expression Data (DNA Microarray 발현정보에 대한 생물학적 정보처리에 관한 연구)

  • Jo, Yeong-Im;Jeong, Hyeon-Cheol
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.149-152
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    • 2007
  • 본 논문은 바이오 인포메틱스의 분야를 간단히 소개하고 기능유전체학에서 microarray 실험에 대한 통계적 방법론을 살펴보고자 한다. 또한 DNA chip 설계와 생물학적 특정에 대해 살펴보고 각 분야에서 적용되는 통계적 방법을 연구분석 해보고자 한다.

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rDNA산물의 정제기술

  • 이승기
    • YAKHAK HOEJI
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    • v.29 no.6
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    • pp.147-155
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    • 1985
  • 이글에서는 예를들어 immunoaffinity chromatography, HPLC및 고압에서 신속하게 분리될수 있게 해주는 새로운 chromatographic media (FPLC)등이 서둘러 개발되고 있는데 본문에섬는 최근에 개발되고 있는 새로운 high resolution 기술을 중심으로 하여 경제성있는 고순도의 rDNA 산물의 회수방법에 대하여 토론하고자 한다. 또한 이들의 정제 방법에 의한 rDNA 산물의 회수에 대한 한계성을 검토하고 최근에 활발히 개발되고 있는 rDNA 조작에 의해 발효산물의 추출및 정제를 용이하게 해줌으로 고수득률과 고순도의 회수를 가능하게 해주는 "upstream processing"기술과 정제 기술의 병용방법에 관하여 집중적으로 토론하고자 한다.

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DNA (Data, Network, AI) Based Intelligent Information Technology (DNA (Data, Network, AI) 기반 지능형 정보 기술)

  • Youn, Joosang;Han, Youn-Hee
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.11
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    • pp.247-249
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    • 2020
  • In the era of the 4th industrial revolution, the demand for convergence between ICT technologies is increasing in various fields. Accordingly, a new term that combines data, network, and artificial intelligence technology, DNA (Data, Network, AI) is in use. and has recently become a hot topic. DNA has various potential technology to be able to develop intelligent application in the real world. Therefore, this paper introduces the reviewed papers on the service image placement mechanism based on the logical fog network, the mobility support scheme based on machine learning for Industrial wireless sensor network, the prediction of the following BCI performance by means of spectral EEG characteristics, the warning classification method based on artificial neural network using topics of source code and natural language processing model for data visualization interaction with chatbot, related on DNA technology.

Parallel Approximate String Matching with k-Mismatches for Multiple Fixed-Length Patterns in DNA Sequences on Graphics Processing Units (GPU을 이용한 다중 고정 길이 패턴을 갖는 DNA 시퀀스에 대한 k-Mismatches에 의한 근사적 병열 스트링 매칭)

  • Ho, ThienLuan;Kim, HyunJin;Oh, SeungRohk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.6
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    • pp.955-961
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    • 2017
  • In this paper, we propose a parallel approximate string matching algorithm with k-mismatches for multiple fixed-length patterns (PMASM) in DNA sequences. PMASM is developed from parallel single pattern approximate string matching algorithms to effectively calculate the Hamming distances for multiple patterns with a fixed-length. In the preprocessing phase of PMASM, all target patterns are binary encoded and stored into a look-up memory. With each input character from the input string, the Hamming distances between a substring and all patterns can be updated at the same time based on the binary encoding information in the look-up memory. Moreover, PMASM adopts graphics processing units (GPUs) to process the data computations in parallel. This paper presents three kinds of PMASM implementation methods in GPUs: thread PMASM, block-thread PMASM, and shared-mem PMASM methods. The shared-mem PMASM method gives an example to effectively make use of the GPU parallel capacity. Moreover, it also exploits special features of the CUDA (Compute Unified Device Architecture) memory structure to optimize the performance. In the experiments with DNA sequences, the proposed PMASM on GPU is 385, 77, and 64 times faster than the traditional naive algorithm, the shift-add algorithm and the single thread PMASM implementation on CPU. With the same NVIDIA GPU model, the performance of the proposed approach is enhanced up to 44% and 21%, compared with the naive, and the shift-add algorithms.

Molecular Cloning of a cDNA Encoding Ribulose-1,5-bisphosphate Carboxylase Small Subunit (rbcS) from Panax ginseng C. A. Meyer (고려인삼의 Ribulose-1,5-Bisphosphate Carboxylase Small Subunit(rbcS) 유전자의 분리 및 특성분석)

  • In Jun Gyo;Lee Bum Soo;Youn Jae-Ho;Son Hwa;Yi Tae Hoo;Yang Deok Chun
    • Korean Journal of Plant Resources
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    • v.18 no.3
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    • pp.374-381
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    • 2005
  • A full-length cDNA encoding ribulose-1,5-bisphosphate carboxylase small subunit (rbcS) has been isolated and its nucleotide sequence determined from root in ginseng plant (Panax ginseng). The rbcS cDNA of ginseng is 790 nucleotides long and has an open reading frame of 549 bp with deduced amino acid of 183 residues (pI 8.37), 20.5 kDa. The deduced amino acid sequence of rbcS matched to the previously reported rbcS protein genes and showed a high similarity with the $78\%$ identity with rbcS of Helianthus annuus (CAA68490). In the phylogenetic analysis based on the amino acid residues, the ginseng rbcS was clustered with H. annuus (CAA68490), C. morifolium (AA025119) and L. sativa (Q40250).

Molecular Cloning and Characterization of Type 2 Metallothionein cDNA from Codonopsis lanceolata (S. et Z.) Trautv

  • In, Jun-Gyo;Lee, Bum-Soo;Yi, Tae-Hoo;Yu, Chang-Yeon;Yang, Deok-Chun
    • Korean Journal of Medicinal Crop Science
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    • v.13 no.5
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    • pp.288-292
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    • 2005
  • A class I type 2 metallothionein (CMet2) cDNA from taproot of Codonopsis lanceolata was isolated and characterized. A CMet2 cDNA was 572 nucleotides long and had an open reading frame of 234 bp with a deduced amino acid sequence of 78 residues (pI = 4.99). The deduced amino acid sequence of CMet2 matched to the previously reported type 2 metallothionein-like protein genes and showed 74% identity with that of G. max (BAD18377) and C. arietinum (CAA65009). Expression of CMet2 by the RT-PCR was increased at 1 hr after cadmium and hydrogen peroxide treatment, respectively.

Molecular Information Processing Technologics (분자정보처리기술)

  • 장병탁
    • The Magazine of the IEIE
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    • v.29 no.3
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    • pp.58-70
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    • 2002
  • 약 1그램의 DNA는 10/sup 21/개의 DNA 염기를 가지며 이것은 10억 terabits의 정보저장 능력에 해당한다. 분자정보처리기술(molecular information processing technology)은 DNA나 단백질과 같은 거대분자의 초미세구조, 초고집적도, 초에너지 소비특성에 기반하여, 용액상에서 아보가드로수(6×10/sup 23/) 규모의 분자들이 3차원 화학 반응에 관여하는 초병렬분산 정보 저장 및 처리 능력을 활용하는 차세대 IT 기술이다. 이는 또한 생체분자의 특성을 나노수준에서 활용하는 정보기술이라는 점에 있어서 BT+NT+IT의 융합기술이며 그 기술적 산업적인 파급 효과가 아주 큰 특징이 있다. 본고에서는 현재 분자정보 처리 기술의 원리 및 문제점을 설명하고 이의 해결을 위한 5가지 핵심 요소 기술을 도출한다. 최근 세계적인 연구 동향을 살펴보고, 국내의 기술 기반 및 국제 경쟁력을 분석하며, 궁극적인 경제성 확보를 위한 산업화 방안을 단기(3-5년), 중기(5-10년), 장기(10-20년)의 3단계로 나뉘어 제안한다.

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