• 제목/요약/키워드: Individual genome

검색결과 203건 처리시간 0.027초

유전체 생태계 분석을 위한 알고리즘 구현: 미토콘드리아 사례 (The Algorithm of implementation for genome analysis ecosystems : Mitochondria's case)

  • 최성자;조한욱
    • 디지털융복합연구
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    • 제14권4호
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    • pp.349-353
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    • 2016
  • 융복합 패러다임의 도입은 방대한 유전체 정보의 분석을 위한 컴퓨팅 기술의 연구 및 개발 또한 활발히 진행되고 있다. 최근 유전체 분석 서비스 유형은 개인의 유전체 정보(personal genome analysis)를 읽어서 특정 질환들의 발병 확률 등을 알려주고, 해당 질병을 예방할 수 있도록 식습관, 라이프 스타일등의 변화를 꾀하도록 맞춤형의 서비스를 제공하고 있다. 생물의 특성을 결정하는 정보는 유전자이며, 이 유전자는 DNA 염기서열에 따라 결정되므로, 유전체 정보의 분석기술은 정확하고 빠르게 수행되어야 한다. 정확한 유전체 분석을 빠르게 수행하기위해 K-Mean 클러스터링 기법을 활용하였으며, 코돈 데이타 패턴을 추출하여 유전체 정보 분석에 적용하였다. 또한, 미토콘드리아 데이타군을 실험사례로 제공한다. 본 연구의 결과, 제공된 분석 데이타를 통해 기존의 문자열 형태의 유전체 분석 기법을 이미지 패턴 형태로 추출이 가능하며, 패턴형태의 이미지는 분석시간의 단축과 정확도를 높인다.

Analysis of allele-specific expression using RNA-seq of the Korean native pig and Landrace reciprocal cross

  • Ahn, Byeongyong;Choi, Min-Kyeung;Yum, Joori;Cho, In-Cheol;Kim, Jin-Hoi;Park, Chankyu
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권12호
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    • pp.1816-1825
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    • 2019
  • Objective: We tried to analyze allele-specific expression in the pig neocortex using bioinformatic analysis of high-throughput sequencing results from the parental genomes and offspring transcriptomes from reciprocal crosses between Korean Native and Landrace pigs. Methods: We carried out sequencing of parental genomes and offspring transcriptomes using next generation sequencing. We subsequently carried out genome scale identification of single nucleotide polymorphisms (SNPs) in two different ways using either individual genome mapping or joint genome mapping of the same breed parents that were used for the reciprocal crosses. Using parent-specific SNPs, allele-specifically expressed genes were analyzed. Results: Because of the low genome coverage (${\sim}4{\times}$) of the sequencing results, most SNPs were non-informative for parental lineage determination of the expressed alleles in the offspring and were thus excluded from our analysis. Consequently, 436 SNPs covering 336 genes were applicable to measure the imbalanced expression of paternal alleles in the offspring. By calculating the read ratios of parental alleles in the offspring, we identified seven genes showing allele-biased expression (p<0.05) including three previously reported and four newly identified genes in this study. Conclusion: The newly identified allele-specifically expressing genes in the neocortex of pigs should contribute to improving our knowledge on genomic imprinting in pigs. To our knowledge, this is the first study of allelic imbalance using high throughput analysis of both parental genomes and offspring transcriptomes of the reciprocal cross in outbred animals. Our study also showed the effect of the number of informative animals on the genome level investigation of allele-specific expression using RNA-seq analysis in livestock species.

단백질 상호작용 추론 및 가시화 시스템 (A Visualization and Inference System for Protein-Protein Interaction)

  • 이미경;김기봉
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권12호
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    • pp.1602-1610
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    • 2004
  • 다양한 유전체 프로젝트로 말미암아 엄청난 서열 데이타들이 쏟아지고, 이에 따라 핵산 및 단백질 수준의 서열 데이타 분석이 매우 중요하게 인식되고 있다. 특히 최근에는 단백질이 단순하게 개별적인 기능을 가진 독립적인 요소가 아닌 전체 단백질 상호작용 네트워크 상에서 다른 객체들과 유기적인 관계를 갖으며 나름대로의 중요한 역할을 수행하고 있다는 점에 초점을 맞추어 연구가 진행되고 있다. 특히 단백질 상호작용 관계 분석을 위해서는 실제로 상호작용이 일어나는 도메인 모듈 정보가 아주 중요하게 작용하는데, 본 논문에서는 이러한 점을 고려하여 우리가 개발한 단백질 기능 및 상호작용 분석을 위한 PIVS(Protein-protein interaction Inference and Visualization System)에 대해 소개하고 있다 PIVS는 기존의 단백질 상호작용 데이타베이스들을 합쳐서 통합 데이타베이스를 생성하고, 다양한 전처리 과정으로 통합 데이타베이스 서열의 기능 및 주석 정보를 추출하여 로컬 데이타베이스화 하였다. 그리고 특히 단백질 상호작용 관계 분석을 위해 중요하게 작용하는 도메인 모듈 정보들을 추출하여 로컬 데이터베이스를 구축하였고, 기존의 단백질 상호작용 관계 데이타를 이용하석 도메인 사이의 상호작용 관계 정보도 수집하여 분석하였다. PIVS는 단백질의 종합적인 분석 정보, 즉, 기능 및 주석, 도메인, 상호작용 관계 정보 등을 손쉽고 편리하게 얻고자 하는 사용자에게 매우 유용하게 사용될 수 있을 것이다.

Multi-dimensional analyses of plant chromosomes and genomes.

  • Fukui, Kiichi;Ohmido, Nobuko;Wako, Toshiyuki
    • 한국식물학회:학술대회논문집
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    • 한국식물학회 1998년도 The 12th Symposium on Plant Biotechnology Vol.12
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    • pp.61-70
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    • 1998
  • Genome and chromosome analyses in plants using fluorescence in situ hybridization (FISH) and immuno-staining (IMS) methods are reviewed by presenting the recent results obtained by the Chromosome Link, a group of chromosome and genome researchers. FISH is now effective to detect unique nucleotide sequences with 153 bp on the extended DNA fibers. Genomic in situ hybridization (GISH) also allows painting plant chromosomes of different genomes. GISH is quite effective to detect the genomic differentiation in the individual chromosomes within a nucleus. Three dimensional (3D) analyses are now available by confocal microscopy and a deconvolution system. These techniques are invaluable to visualize both the structural and functional dynamics within a nucleus. 3D-FISH revealed the spatial differentiation of different genomees within a nucleus. 3D-FISH also proved structural partition of centromeric and telomeric domains within a barely nucleus. The dynamic acetylation of histone H4 at the specific regions of a genome during a cell cycle is also analyzed using 3D-IMS. It is anticipated that these methods will provide us powerful tools to understand the structural and functional significance of plant chromosomes and genomes.

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인간 게놈의 단일염기변형 (Single Nucleotide Polymorphism; SNP)에 대한 이해 (UNDERSTANDING OF SINGLE NUCLEOTIDE POLYMORPHISM OF HUMAN GENOME)

  • 오정환;윤병욱
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • 제34권4호
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    • pp.450-455
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    • 2008
  • A Single Nucleotide Polymorphism (SNP) is a small genetic change or variation that can occur within a DNA sequence. It's the difference of one base at specific base pair position. SNP variation occurs when a single nucleotide, such as an A, replaces one of the other three nucleotide letters-C, G, or T. On average, SNP occur in the human population more than 1 percent of the time. They occur once in every 300 nucleotides on average, which means there are roughly 10 million SNPs in the human genome. Because SNPs occur frequently throughout the genome and tend to be relatively stable genetically, they serve as excellent biological markers. They can help scientists locate genes that are associated with disease such as heart disease, cancer, diabetes. They can also be used to track the inheritance of disease genes within families. SNPs may also be associated with absorbance and clearance of therapeutic agents. In the future, the most appropriate drug for an individual could be determined in advance of treatment by analyzing a patient's SNP profile. This pharmacogenetic strategy heralds an era in which the choice of drugs for a particular patient will be based on evidence rather than trial and error (so called "personalized medicine").

In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains

  • Javadi, Maryam;Oloomi, Mana;Bouzari, Saeid
    • Genomics & Informatics
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    • 제15권2호
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    • pp.69-80
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    • 2017
  • In this study, cytolethal distending toxin (CDT) producer isolates genome were compared with genome of pathogenic and commensal Escherichia coli strains. Conserved genomic signatures among different types of CDT producer E. coli strains were assessed. It was shown that they could be used as biomarkers for research purposes and clinical diagnosis by polymerase chain reaction, or in vaccine development. cdt genes and several other genetic biomarkers were identified as signature sequences in CDT producer strains. The identified signatures include several individual phage proteins (holins, nucleases, and terminases, and transferases) and multiple members of different protein families (the lambda family, phage-integrase family, phage-tail tape protein family, putative membrane proteins, regulatory proteins, restriction-modification system proteins, tail fiber-assembly proteins, base plate-assembly proteins, and other prophage tail-related proteins). In this study, a sporadic phylogenic pattern was demonstrated in the CDT-producing strains. In conclusion, conserved signature proteins in a wide range of pathogenic bacterial strains can potentially be used in modern vaccine-design strategies.

Evolutionary course of CsRn1 long-terminal-repeat retrotransposon and its heterogeneous integrations into the genome of the liver fluke, Clonorchis sinensis

  • Bae, Young-An;Kong, Yoon
    • Parasites, Hosts and Diseases
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    • 제41권4호
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    • pp.209-219
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    • 2003
  • The evolutionary course of the CsRn1 long-terminal-repeat (LTR) retrotransposon was predicted by conducting a phylogenetic analysis with its paralog LTR sequences. Based on the clustering patterns in the phylogenetic tree, multiple CsRn1 copies could be grouped into four subsets, which were shown to have different integration times. Their differential sequence divergences and heterogeneous integration patterns strongly suggested that these subsets appeared sequentially in the genome of C. sinensis. Members of recently expanding subset showed the lowest level of divergence in their L TR and reverse transcriptase gene sequences. They were also shown to be highly polymorphic among individual genomes of the trematode. The CsRn1 element exhibited a preference for repetitive, agenic chromosomal regions in terms of selecting integration targets. Our results suggested that CsRn1 might induce a considerable degree of intergenomic variation and, thereby, have influenced the evolution of the C. sinensis genome.

Functional annotation of uncharacterized proteins from Fusobacterium nucleatum: identification of virulence factors

  • Kanchan Rauthan;Saranya Joshi;Lokesh Kumar;Divya Goel;Sudhir Kumar
    • Genomics & Informatics
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    • 제21권2호
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    • pp.21.1-21.14
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    • 2023
  • Fusobacterium nucleatum is a gram-negative bacteria associated with diverse infections like appendicitis and colorectal cancer. It mainly attacks the epithelial cells in the oral cavity and throat of the infected individual. It has a single circular genome of 2.7 Mb. Many proteins in F. nucleatum genome are listed as "Uncharacterized." Annotation of these proteins is crucial for obtaining new facts about the pathogen and deciphering the gene regulation, functions, and pathways along with discovery of novel target proteins. In the light of new genomic information, an armoury of bioinformatic tools were used for predicting the physicochemical parameters, domain and motif search, pattern search, and localization of the uncharacterized proteins. The programs such as receiver operating characteristics determine the efficacy of the databases that have been employed for prediction of different parameters at 83.6%. Functions were successfully assigned to 46 uncharacterized proteins which included enzymes, transporter proteins, membrane proteins, binding proteins, etc. Apart from the function prediction, the proteins were also subjected to string analysis to reveal the interacting partners. The annotated proteins were also put through homology-based structure prediction and modeling using Swiss PDB and Phyre2 servers. Two probable virulent factors were also identified which could be investigated further for potential drug-related studies. The assigning of functions to uncharacterized proteins has shown that some of these proteins are important for cell survival inside the host and can act as effective drug targets.

Global Genetic Analysis

  • Elahi, Elahe;Kumm, Jochen;Ronaghi, Mostafa
    • BMB Reports
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    • 제37권1호
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    • pp.11-27
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    • 2004
  • The introduction of molecular markers in genetic analysis has revolutionized medicine. These molecular markers are genetic variations associated with a predisposition to common diseases and individual variations in drug responses. Identification and genotyping a vast number of genetic polymorphisms in large populations are increasingly important for disease gene identification, pharmacogenetics and population-based studies. Among variations being analyzed, single nucleotide polymorphisms seem to be most useful in large-scale genetic analysis. This review discusses approaches for genetic analysis, use of different markers, and emerging technologies for large-scale genetic analysis where millions of genotyping need to be performed.

DNA chip을 이용한 사상체질의 연구 (Understanding of Sasang Constitutions using DNA chip Analysis)

  • 유호룡;임종순;김윤식;설인찬
    • 대한한의학회지
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    • 제25권1호
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    • pp.72-84
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    • 2004
  • Objectives : he purpose of this study was to examine the genetic variations and changes of gene expression in the human constitutions. Methods : To analysis variations of individual gene expression, we had selected three groups of volunteers. In each group have a typical constitutional characteristics. By this rime we are analyzed their gene expression patterns by using DNA chip. Results : we can acquire a new information of standard for human constitutions. 1. The 21 genes under express and 3 genes over express in So-Yang constitution 2. The 18 genes under express and 18 genes over express in So-Eum constitution 3. The 16 genes under express and 2 genes over express in Tae-Eum constitution Conclusions : Constitution, QSCCII, Character, Genome, DNA chip.

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