• 정보처리학회논문지A
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• 제9A권3호
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• pp.387-398
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• 2002

최근 활발한 소단위 게놈 프로젝트의 수행으로 많은 생물체의 유전체 전체 서열이 밝혀짐에 따라서 전유전체(whole genome)를 기본 단위로 하여 개별 유전자나 그에 관련된 기능 연구가 매우 활발히 이루어지고 있다. 전유전체의 염기 서열은 수백만 bp(base pairs)에서 수백억 bp(base pairs) 정도의 대용량 텍스트 데이터이기 때문에 단순한 온라인 문자 일치(on-line string matching) 알고리즘으로 분석하는 것은 매우 비효율적이다. 본 논문에서는 대용량의 유전체 서열을 분석하는데 적합한 자료 구조인 스트링 B-트리를 사용하여 유전체 서열의 분석과 가시화를 위한 워크벤치를 개발한 과정을 소개한다. 본 연구에서 개발한 시스템은 크게 질의문 부분과 가시화 부분으로 나뉘어 진다. 질의문 부분에는 유전체 서열에 특정 서열이 나타나는 부분의 위치와 횟수를 알아보거나 k번 나타나는 서열을 조사하는 것과 같은 기본적인 패턴 검색 부분과 k-mer 분석을 위한 질의어가 다양하게 준비되어 있다. 가시화 부분은 전유전체 서열과 주석(annotation)을 보여주거나, 유전체 분석을 용이하도록 여러 가시화 방법, CGR(Chaos Game Representation), k-mer graph, RWP(Random Walk Plot) 등으로 생물학자들이 쉽게 전체 구조와 특성 파악할 수 있도록 도와준다. 본 논문이 제안하는 분석 시스템은 생물체의 진화적 관계를 밝히고, 염색체 내에 아직 알려지지 않은 새로운 유전자나 기능이 밝혀지지 않은 junk DNA들의 기능 등을 연구하는데 사용할 수 있다.

• Journal of Microbiology and Biotechnology
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• 제24권4호
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• pp.563-567
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• 2014

Pseudomonas syringae pv. syringae (Psy) is a major bacterial pathogen of many economically important plant species. Despite the severity of its impact, the genome sequence of the type strain has not been reported. Here, we present the draft genome sequence of Psy ATCC 19310. Comparative genomic analysis revealed that Psy ATCC 19310 is closely related to Psy B728a. However, only a few type III effectors, which are key virulence factors, are shared by the two strains, indicating the possibility of host-pathogen specificity and genome dynamics, even under the pathovar level.

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2005년도 The 14th Korea Genome Conference
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• pp.74-74
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• 2005

• 식물병연구
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• 제21권3호
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• pp.222-226
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• 2015

The chitinase-producing bacterial strain C-1 is one of the key chitinase-producing biocontrol agents used for effective bioformulations for biological control. These bioformulations are mixed cultures of various chitinolytic bacteria. However, the precise identification, biocontrol activity, and the underlying mechanisms of the strain C-1 have not been investigated so far. Therefore, we evaluated in planta biocontrol efficacies of C-1 and determined the draft genome sequence of the strain in this study. The bacterial C-1 strain was identified as a novel Serratia sp. by a phylogenic analysis of its 16S rRNA sequence. The Serratia sp. C-1 bacterial cultures showed strong in planta biocontrol efficacies against some major phytopathogenic fungal diseases. The draft genome sequence of Serratia sp. C-1 indicated that the C-1 strain is a novel strain harboring a subset of genes that may be involved in its biocontrol activities.

• 한국잠사곤충학회지
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• 제42권2호
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• pp.126-141
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• 2000

A major step towards understanding of the genetic basis of an organism is the complete sequence determination of all genes in target genome. The nucleotide sequence encoded in the genome contains the information that specifies the amino acid sequence of every protein and functional RNA molecule. In principle, it will be possible to identify every protein resposible for the structure and function of the body of the target organism. The pattern of expression in different cell types will specify where and when each protein is used. The amino acid sequence of the proteins encoded by each gene will be derived from the conceptional translation of the nucleotide sequence. Comparison of these sequences with those of known proteins, whose sequences are sorted in database, will suggest an approximate function for many proteins. This mini review describes the development of new sequencing methods and the optimization of sequencing strategies for whole genome, various cDNA and genomic analysis.

• The Plant Pathology Journal
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• 제28권4호
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• pp.428-432
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• 2012

We determined the complete genome sequence of a Vietnamese isolate of Southern rice black-streaked dwarf virus (SRBSDV). Whole genome comparisons and phylogenetic analysis showed that the genome of the Vietnamese isolate shared high nucleotide sequence identities of over 97.5% with those of the reported Chinese isolates, confirming a common origin of them. Moreover, the greatest divergence between different SRBSDV isolates was found in the segments S1, S3, S4 and S6, which differs from the sequence alignment results between SRBSDV and Rice black streaked dwarf virus (RBSDV), implying that SRBSDV evolved in a unique way independent of RBSDV. This is the first report of a complete nucleotide sequence of SRBSDV from Vietnam and our data provides new clues for further understanding of molecular variation and epidemiology of SRBSDV in Southeast Asia.

• 생물정신의학
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• 제8권2호
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• pp.203-207
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• 2001

The genome sequencing project has generated and will continue to generate enormous amounts of sequence data including 5 eukaryotic and about 60 prokaryotic genomes. Given this ever-increasing amounts of sequence information, new strategies are necessary to efficiently pursue the next phase of the genome project-the elucidation of gene expression patterns and gene product function on a whole genome scale. In order to assign functional information to the genome sequence, DNA chip(or gene microarray) technology was developed to efficiently identify the differential expression pattern of independent biological samples. DNA chip provides a new tool for genome expression analysis that may revolutionize many aspects of biotechnology including new drug discovery and disease diagnostics.

• Journal of Animal Science and Technology
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• 제65권6호
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• pp.1341-1344
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• 2023

In this study, we report the complete genome sequence of Lactiplantibacillus plantarum L55, a probiotic strain of lactic acid bacteria isolated from kimchi. The genome consists of one circular chromosome (2,077,416 base pair [bp]) with a guanine cytosine (GC) content of 44.5%, and two circular plasmid sequences (54,267 and 19,592 bp, respectively). We also conducted a comprehensive analysis of the genome, which identified the presence of functional genes, genomic islands, and antibiotic-resistance genes. The genome sequence data presented in this study provide insights into the genetic basis of L. plantarum L55, which could be beneficial for the future development of probiotic applications.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.83-85
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• 2000

A lot of microbial genome sequencing projects is being done in many genome centers around the world, since the first genome, Haemophilus influenzae, was sequenced in 1995. The deluge of microbial genome sequence data demands new and highly automatic data flow system in order for genome researchers to manage and analyze their own bulky sequence data from low-level to high-level. In such an aspect, we developed the automatic data management system for microbial genome projects, which consists mainly of local database, analysis programs, and user-friendly interface. We designed and implemented the local database for large-scale sequencing projects, which makes systematic and consistent data management and retrieval possible and is tightly coupled with analysis programs and web-based user interface, That is, parsing and storage of the results of analysis programs in local database is possible and user can retrieve the data in any level of data process by means of web-based graphical user interface. Contig assembly, homology search, and ORF prediction, which are essential in genome projects, make analysis programs in our system. All but Contig assembly program are open as public domain. These programs are connected with each other by means of a lot of utility programs. As a result, this system will maximize the efficiency in cost and time in genome research.

• Genomics & Informatics
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• 제11권4호
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• pp.191-199
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• 2013

High-throughput next-generation sequencing (NGS) technology produces a tremendous amount of raw sequence data. The challenges for researchers are to process the raw data, to map the sequences to genome, to discover variants that are different from the reference genome, and to prioritize/rank the variants for the question of interest. The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. However, the NGS data analysis is complex and could be overwhelming for researchers who are not familiar with the process. Here, we outline the analysis pipeline and describe some of the most commonly used principles and tools for analyzing NGS data for disease gene identification.