• Title/Summary/Keyword: Genome analysis

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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.

Draft Genome Sequence of Weissella koreensis Strain HJ, a Probiotic Bacterium Isolated from Kimchi

  • Seung-Min Yang;Eiseul Kim;So-Yun Lee;Soyeong Mun;Hae Choon Chang;Hae-Yeong Kim
    • Microbiology and Biotechnology Letters
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    • v.51 no.1
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    • pp.128-131
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    • 2023
  • Here we report the draft genome sequence of Weissella koreensis strain HJ and genomic analysis of its key features. The genome consists of 1,427,571 bp with a GC content of 35.5%, and comprises 1,376 coding genes. In silico analysis revealed the absence of pathogenic factors within the genome. The genome harbors several genes that play an important role in the survival of the gastrointestinal tract. In addition, a type III polyketide synthase cluster was identified. Pangenome analysis identified 68 unique genes in W. koreensis strain HJ. The genome information of this strain provides the basis for understanding its probiotic properties.

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.

A data management system for microbial genome projects

  • Ki-Bong Kim;Hyeweon Nam;Hwajung Seo and Kiejung Park
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2000.11a
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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.

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HapAnalyzer: Minimum Haplotype Analysis System for Association Studies

  • Jung, Ho-Youl;Park, Jung-Sun;Park, Yun-Ju;Kim, Young-Jin;Kimm, Kuchan;Koh, InSong
    • Genomics & Informatics
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    • v.2 no.2
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    • pp.107-109
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    • 2004
  • HapAnalyzer is an analysis system that provides minimum analysis methods for the SNP-based association studies. It consists of Hardy-Weinberg equilibrium (HWE) test, linkage disequilibrium (LD) computation, haplotype reconstruction, and SNP (or haplotype)-phenotype association assessment. It is well suited to a case-control association study for the unrelated population.

Genome Analysis of Phage SMSAP5 as Candidate of Biocontrol for Staphylococcus aureus

  • Lee, Young-Duck;Park, Jong-Hyun
    • Food Science of Animal Resources
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    • v.35 no.1
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    • pp.86-90
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    • 2015
  • In this study, we reported the morphogenetic analysis and genome sequence by genomic analysis of the newly isolated staphylococcal phage SMSAP5 from soil of slaughterhouses for cattle. Based on transmission electron microscopy evident morphology, phage SMSAP5 belonged to the Siphoviridae family. Phage SMSAP5 had a double-stranded DNA genome with a length of 45,552 bp and 33 % G+C content. Bioinformatics analysis of the phage genome revealed 43 open reading frames. A blastn search revealed that its nucleotide sequence shared a high degree of similarity with that of the Staphylococcus phage tp310-2. In conclusion, this study is the first report to show the morphological features and the complete genome sequence of the phage SMSAP5 from soil of slaughterhouses for cattle.