• Title/Summary/Keyword: Genome

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New Approach to the Analysis of Palindromic Structure in Genome Sequences

  • Kim, Seok-Won;Lee, Yong-Seok;Choi, Sang-Haeng;Chae, Sung-Hwa;Kim, Dae-Won;Park, Hong-Seog
    • Genomics & Informatics
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    • v.4 no.4
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    • pp.167-169
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    • 2006
  • PABAP (Palindrome Analysis by BLAST Program) is an analysis system that identifies palindromic sequences from a large genome sequence up to several megabases long. It uses NCBI BLAST as a searching engine, and data processing such as alignment filtration and detection of inverted repeats which satisfy user-defined parameters is performed by manipulating data after populating into a MySQL database. PABAP outperforms publicly available palindrome search program in that it can detect large palindrome with internal spacer at a faster speed from bacterial genomes. It is a standalone application and is freely available for noncommercial users.

Whole-genome sequence analysis through online web interfaces: a review

  • Gunasekara, A.W.A.C.W.R.;Rajapaksha, L.G.T.G.;Tung, T.L.
    • Genomics & Informatics
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    • v.20 no.1
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    • pp.3.1-3.10
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    • 2022
  • The recent development of whole-genome sequencing technologies paved the way for understanding the genomes of microorganisms. Every whole-genome sequencing (WGS) project requires a considerable cost and a massive effort to address the questions at hand. The final step of WGS is data analysis. The analysis of whole-genome sequence is dependent on highly sophisticated bioinformatics tools that the research personal have to buy. However, many laboratories and research institutions do not have the bioinformatics capabilities to analyze the genomic data and therefore, are unable to take maximum advantage of whole-genome sequencing. In this aspect, this study provides a guide for research personals on a set of bioinformatics tools available online that can be used to analyze whole-genome sequence data of bacterial genomes. The web interfaces described here have many advantages and, in most cases exempting the need for costly analysis tools and intensive computing resources.

Comparative Genomics Reveals the Core and Accessory Genomes of Streptomyces Species

  • Kim, Ji-Nu;Kim, Yeonbum;Jeong, Yujin;Roe, Jung-Hye;Kim, Byung-Gee;Cho, Byung-Kwan
    • Journal of Microbiology and Biotechnology
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    • v.25 no.10
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    • pp.1599-1605
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    • 2015
  • The development of rapid and efficient genome sequencing methods has enabled us to study the evolutionary background of bacterial genetic information. Here, we present comparative genomic analysis of 17 Streptomyces species, for which the genome has been completely sequenced, using the pan-genome approach. The analysis revealed that 34,592 ortholog clusters constituted the pan-genome of these Streptomyces species, including 2,018 in the core genome, 11,743 in the dispensable genome, and 20,831 in the unique genome. The core genome was converged to a smaller number of genes than reported previously, with 3,096 gene families. Functional enrichment analysis showed that genes involved in transcription were most abundant in the Streptomyces pan-genome. Finally, we investigated core genes for the sigma factors, mycothiol biosynthesis pathway, and secondary metabolism pathways; our data showed that many genes involved in stress response and morphological differentiation were commonly expressed in Streptomyces species. Elucidation of the core genome offers a basis for understanding the functional evolution of Streptomyces species and provides insights into target selection for the construction of industrial strains.

The strategy and current status of Brassica rapa genome project (배추 유전체 염기서열 해독 전략과 현황)

  • Mun, Jeong-Hwan;Kwon, Soo-Jin;Park, Beom-Seok
    • Journal of Plant Biotechnology
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    • v.37 no.2
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    • pp.153-165
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    • 2010
  • Brassica rapa is considered an ideal candidate to act as a reference species for Brassica genomic studies. Among the three basic Brassica species, B. rapa (AA genome) has the smallest genome (529 Mbp), compared to B. nigra (BB genome, 632 Mbp) and B. oleracea (CC genome, 696 Mbp). There is also a large collection of available cultivars of B. rapa, as well as a broad array of B. rapa genomic resources available. Under international consensus, various genomic studies on B. rapa have been conducted, including the construction of a physical map based on 22.5X genome coverage, end sequencing of 146,000 BACs, sequencing of >150,000 expressed sequence tags, and successful phase 2 shotgun sequencing of 589 euchromatic region-tiling BACs based on comparative positioning with the Arabidopsis genome. These sequenced BACs mapped onto the B. rapa genome provide beginning points for genome sequencing of each chromosome. Applying this strategy, all of the 10 chromosomes of B. rapa have been assigned to the sequencing centers in seven countries, Korea, UK, China, India, Canada, Australia, and Japan. The two longest chromosomes, A3 and A9, have been sequenced except for several gaps, by NAAS in Korea. Meanwhile a China group, including IVF and BGI, performed whole genome sequencing with Illumina system. These Sanger and NGS sequence data will be integrated to assemble a draft sequence of B. rapa. The imminent B. rapa genome sequence offers novel insights into the organization and evolution of the Brassica genome. In parallel, the transfer of knowledge from B. rapa to other Brassica crops would be expected.

AGB (Ancestral Genome Browser): A Web Interface for Browsing Reconstructed Ancestral Genomes (AGB (Ancestral Genome Browser): 조상유전체 데이터의 시각적 열람을 위한 웹 인터페이스)

  • Lee, Daehwan;Lee, Jongin;Hong, Woon-Young;Jang, Eunji;Kim, Jaebum
    • Journal of KIISE
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    • v.42 no.12
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    • pp.1584-1589
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    • 2015
  • With the advancement of next-generation sequencing (NGS) technologies, various genome browsers have been introduced. Because existing browsers focus on comparison of the genomic data of extant species, however, there is a need for a genome browser for ancestral genomes and their evolution. In this paper, we introduce a genome browser, AGB (Ancestral Genome Browser), that displays ancestral genome data reconstructed from existing species. With AGB, it is possible to trace genomic variations that occurred during evolution in a simple and intuitive way. We explain the capability of AGB in terms of visualizing ancestral genomic information and evolutionary genomic variations. AGB is now available at http://bioinfo.konkuk.ac.kr/genomebrowser/.