• Title/Summary/Keyword: genome database

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AKAPDB: A-Kinase Anchoring Proteins Database

  • Kim, In-Sil;Lim, Kyung-Joon;Han, Bok-Ghee;Chung, Myung-Guen;Kim, Kyu-Won
    • Genomics & Informatics
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    • v.8 no.2
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    • pp.90-93
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    • 2010
  • A-kinase-anchoring proteins (AKAPs) are scaffold proteins which compartmentalize protein kinase A (PKA, cAMP-dependent protein kinase) and other enzymes to specific subcellular sites. The spatiotemporal control of these enzymes by AKAPs is important for cellular function like cell growth and development etc. Hence, it is important to understand the basic function of AKAPs and their functional domains. However, diverse names, function, cellular localizations and many members of AKAPs increase difficulties when researchers search appropriate AKAPs for their experimental purpose. Nevertheless, there was no previous AKAPs-related database regardless of their important cellular functions and difficulty of finding appropriate AKAPs. So, we developed AKAPs database (AKAPDB), which contains their sequence information, functions and other information derived from prediction programs and other databases. Therefore, we propose that AKAPDB can be an important tool to researchers in the related fields. AKAPDB is available via the internet at http://plaza3.snu.ac.kr/akapdb/.

Draft Genome Database Construction from Four Strains (NIES-298, FCY-26, -27, and -28) of the Cyanobacterium Microcystis aeruginosa

  • Rhee, Jae-Sung;Choi, Beom-Soon;Han, Jeonghoon;Hwang, Soon-Jin;Choi, Ik-Young;Lee, Jae-Seong
    • Journal of Microbiology and Biotechnology
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    • v.22 no.9
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    • pp.1208-1213
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    • 2012
  • Microcystis aeruginosa is a cyanobacterium that can form harmful algal blooms (HABs) producing toxic secondary metabolites. We provide here draft genome information of four strains of this freshwater cyanobacterium that was obtained by the Next Generation Sequencing approach to provide a better understanding of molecular mechanisms at the physiological and ecological levels. After gene assembly, genes of each strain were identified and annotated, and a genome database and G-browser of M. aeruginosa were subsequently constructed. Such genome information resources will enable us to obtain useful information for molecular ecological studies with a better understanding of modulating mechanisms of environmental factors associated with blooming.

EvoSNP-DB: A database of genetic diversity in East Asian populations

  • Kim, Young Uk;Kim, Young Jin;Lee, Jong-Young;Park, Kiejung
    • BMB Reports
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    • v.46 no.8
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    • pp.416-421
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    • 2013
  • Genome-wide association studies (GWAS) have become popular as an approach for the identification of large numbers of phenotype-associated variants. However, differences in genetic architecture and environmental factors mean that the effect of variants can vary across populations. Understanding population genetic diversity is valuable for the investigation of possible population specific and independent effects of variants. EvoSNP-DB aims to provide information regarding genetic diversity among East Asian populations, including Chinese, Japanese, and Korean. Non-redundant SNPs (1.6 million) were genotyped in 54 Korean trios (162 samples) and were compared with 4 million SNPs from HapMap phase II populations. EvoSNP-DB provides two user interfaces for data query and visualization, and integrates scores of genetic diversity (Fst and VarLD) at the level of SNPs, genes, and chromosome regions. EvoSNP-DB is a web-based application that allows users to navigate and visualize measurements of population genetic differences in an interactive manner, and is available online at [http://biomi.cdc.go.kr/EvoSNP/].

Strategy Considerations in Genome Cohort Construction in Korea (한국 유전체 코호트 구축의 전략적 고려사항)

  • Sung, Joo-Hon;Cho, Sung-Il
    • Journal of Preventive Medicine and Public Health
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    • v.40 no.2
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    • pp.95-101
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    • 2007
  • Focusing on complex diseases of public health significance, strategic issues regarding the on-going Korean Genome Cohort were reviewed: target size and diseases, measurements, study design issues, and follow-up strategy of the cohort. Considering the epidemiologic characteristics of Korean population as well as strengths and drawbacks of current research environment, we tried to tailor the experience of other existing cohorts into proposals for this Korean study. Currently 100,000 individuals have been participating the new Genome Cohort in Korea. Target size of de novo collection is recommended to be set as between 300,000 to 500,000. This target size would allow acceptable power to detect genetic and environmental factors of moderate effect size and possible interactions between them. Family units and/or special subgroups are recommended to parallel main body of adult individuals to increase the overall efficiency of the study. Given that response rate to the conventional re-contact method may not be satisfactory, successful follow-up is the main key to the achievement of the Korean Genome Cohort. Access to the central database such as National Health Insurance data can provide enormous potential for near-complete case detection. Efforts to build consensus amongst scientists from broad fields and stakeholders are crucial to unleash the centralized database as well as to refine the commitment of this national project.

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.

Bioinformatics in the Post-genome Era

  • Yu, Ung-Sik;Lee, Sung-Hoon;Kim, Young-Joo;Kim, Sang-Soo
    • BMB Reports
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    • v.37 no.1
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    • pp.75-82
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    • 2004
  • Recent years saw a dramatic increase in genomic and proteomic data in public archives. Now with the complete genome sequences of human and other species in hand, detailed analyses of the genome sequences will undoubtedly improve our understanding of biological systems and at the same time require sophisticated bioinformatic tools. Here we review what computational challenges are ahead and what are the new exciting developments in this exciting field.

ChimerDB - Database of Chimeric Sequences in the GenBank

  • Kim, Namshin;Shin, Seokmin;Cho, Kwang-Hwi;Lee, Sanghyuk
    • Genomics & Informatics
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    • v.2 no.2
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    • pp.61-66
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    • 2004
  • Fusion proteins resulting from chimeric sequences are excellent targets for therapeutic drug development. We developed a database of chimeric sequences by examining the genomic alignment of mRNA and EST sequences in the GenBank. We identified 688 chimeric mRNA and 20,998 chimeric EST sequences. Including EST sequences greatly expands the scope of chimeric sequences even though it inevitably accompanies many artifacts. Chimeric sequences are clustered according to the ECgene ID so that the user can easily find chimeric sequences related to a specific gene. Alignments of chimeric sequences are displayed as custom tracks in the UCSC genome browser. ChimerDB, available at http://genome.ewha.ac.kr/ECgene/ChimerDB/, should be a valuable resource for finding drug targets to treat cancers.

Cereal Resources in National BioResource Project of Japan

  • Sato, Kazuhiro;Endo, Takashi R.;Kurata, Nori
    • Interdisciplinary Bio Central
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    • v.2 no.4
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    • pp.13.1-13.8
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    • 2010
  • The National BioResource Project of Japan is a governmental project to promote domestic/international research activities using biological resources. The project has 27 biological resources including three cereal resources. The core center and sub-center which historically collected the cereal resources were selected for each cereal program. These resources are categorized into several different types in the project; germplasm, genetic stocks, genome resources and database information. Contents of rice resources are wild species, local varieties in East and Southwest Asia & wild relatives, MNU-induced chemical mutant lines, marker tester lines, chromosome substitution lines and other experimental lines. Contents of wheat resources are wild strains, cultivated strains, experimental lines, rye wild and cultivated strains; EST clones and full-length cDNA clones. Contents of barley resources are cultivar and experimental lines, core collection, EST/cDNA clones, BAC clones, their filters and superpool DNA. Each resource is accessible from the online database to see the contents and information about the resources. Links to the genome information and genomic tools are also important function of each database. The major contents and some examples are presented here.