• 제목/요약/키워드: COG and KO

검색결과 5건 처리시간 0.024초

다종의 유전체로부터 탐지된 Ortholog 군집에 대한 분석 (An Analysis of Ortholog Clusters Detected from Multiple Genomes)

  • 김선신;오정수;이범주;김태경;정광수;이충세;김영창;조완섭;류근호
    • 한국정보과학회논문지:데이타베이스
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    • 제35권2호
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    • pp.125-131
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    • 2008
  • 새로운 유전체 주석달기와 유전체 진화에 대한 연구를 위해서 올소로그(Ortholog)를 탐지하는 일은 매우 유용하다. 이전에 제안한 연구에서, 우리는 여러 종의 유전체로부터 올소로그 클러스터를 자동적으로 구축하는 방법을 제안하였다. 이 방법은 단지 두 종의 결과를 생성하는 InParanoid를 여러 종으로 확장하고 이와 동일한 질을 가진 결과를 산출한다. 한편, 새롭게 서열이 밝혀진 유전자의 기능을 보다 정확히 예측하기 위해, 패럴로그(Paralog)가 가급적 적게 포함되는 올소로그 클러스터를 구축하는 것이 중요한 문제가 될 수 있다. 이 논문에서, 우리는 임계값을 사용하여 보다 순수한 올소로그 클러스터를 구축하는 방법에 대하여 조사하였다 우리는 20개의 원핵생물의 데이타셋으로부터 올소로그 클러스터를 구축하였다. 우리의 올소로그 클러스터를 COG(Clusters of Orthologous Group) 및 KO(Kegg Orthology)와 비교하였을 매, 약 90%의 유사도를 가지며 임계간의 증가와 더불어 증가하는 경향이 있다.

Fault Detection in Automatic Identification System Data for Vessel Location Tracking

  • Da Bin Jeong;Hyun-Taek Choi;Nak Yong Ko
    • Journal of Positioning, Navigation, and Timing
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    • 제12권3호
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    • pp.257-269
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    • 2023
  • This paper presents a method for detecting faults in data obtained from the Automatic Identification System (AIS) of surface vessels. The data include latitude, longitude, Speed Over Ground (SOG), and Course Over Ground (COG). We derive two methods that utilize two models: a constant state model and a derivative augmented model. The constant state model incorporates noise variables to account for state changes, while the derivative augmented model employs explicit variables such as first or second derivatives, to model dynamic changes in state. Generally, the derivative augmented model detects faults more promptly than the constant state model, although it is vulnerable to potentially overlooking faults. The effectiveness of this method is validated using AIS data collected at a harbor. The results demonstrate that the proposed approach can automatically detect faults in AIS data, thus offering partial assistance for enhancing navigation safety.

Comparative Genome Analysis Reveals Natural Variations in the Genomes of Erwinia pyrifoliae, a Black Shoot Blight Pathogen in Apple and Pear

  • Lee, Gyu Min;Ko, Seyoung;Oh, Eom-Ji;Song, Yu-Rim;Kim, Donghyuk;Oh, Chang-Sik
    • The Plant Pathology Journal
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    • 제36권5호
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    • pp.428-439
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    • 2020
  • Erwinia pyrifoliae is a Gram-negative bacterial plant pathogen that causes black shoot blight in apple and pear. Although earlier studies reported the genome comparison of Erwinia species, E. pyrifoliae strains for such analysis were isolated in 1996. In 2014, the strain E. pyrifoliae EpK1/15 was newly isolated in the apple tree showing black shoot blight in South Korea. This study aimed to better understand the similarities and differences caused by natural variations at the genomic level between newly isolated E. pyrifoliae EpK1/15 and the strain Ep1/96, which were isolated almost 20 years apart. Several comparative genomic analyses were conducted, and Clusters of Orthologous Groups of proteins (COG) database was used to classify functional annotation for each strain. E. pyrifoliae EpK1/15 had similarities with the Ep1/96 strain in stress-related genes, Tn3 transposase of insertion sequences, type III secretion systems, and small RNAs. The most remarkable difference to emerge from this comparison was that although the draft genome of E. pyrifoliae EpK1/15 was almost conserved, Epk1/15 strain had at least three sorts of structural variations in functional annotation according to COG database; chromosome inversion, translocation, and duplication. These results indicate that E. pyrifoliae species has gone natural variations within almost 20 years at the genomic level, and we can trace their similarities and differences with comparative genomic analysis.

Assessment of Erythrobacter Species Diversity through Pan-Genome Analysis with Newly Isolated Erythrobacter sp. 3-20A1M

  • Cho, Sang-Hyeok;Jeong, Yujin;Lee, Eunju;Ko, So-Ra;Ahn, Chi-Yong;Oh, Hee-Mock;Cho, Byung-Kwan;Cho, Suhyung
    • Journal of Microbiology and Biotechnology
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    • 제31권4호
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    • pp.601-609
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    • 2021
  • Erythrobacter species are extensively studied marine bacteria that produce various carotenoids. Due to their photoheterotrophic ability, it has been suggested that they play a crucial role in marine ecosystems. It is essential to identify the genome sequence and the genes of the species to predict their role in the marine ecosystem. In this study, we report the complete genome sequence of the marine bacterium Erythrobacter sp. 3-20A1M. The genome size was 3.1 Mbp and its GC content was 64.8%. In total, 2998 genetic features were annotated, of which 2882 were annotated as functional coding genes. Using the genetic information of Erythrobacter sp. 3-20A1M, we performed pan-genome analysis with other Erythrobacter species. This revealed highly conserved secondary metabolite biosynthesis-related COG functions across Erythrobacter species. Through subsequent secondary metabolite biosynthetic gene cluster prediction and KEGG analysis, the carotenoid biosynthetic pathway was proven conserved in all Erythrobacter species, except for the spheroidene and spirilloxanthin pathways, which are only found in photosynthetic Erythrobacter species. The presence of virulence genes, especially the plant-algae cell wall degrading genes, revealed that Erythrobacter sp. 3-20A1M is a potential marine plant-algae scavenger.