DOOR: a database for prokaryotic operons

被引:281
作者
Mao, Fenglou [1 ,2 ,3 ]
Dam, Phuongan [1 ,2 ,3 ]
Chou, Jacky [1 ,2 ,3 ]
Olman, Victor [1 ,2 ,3 ]
Xu, Ying [1 ,2 ,3 ]
机构
[1] Univ Georgia, Dept Biochem & Mol Biol, Computat Syst Biol Lab, Athens, GA 30602 USA
[2] Univ Georgia, Inst Bioinformat, Athens, GA 30602 USA
[3] Oak Ridge Natl Lab, DOE BioEnergy Sci Ctr BESC, Oak Ridge, TN USA
基金
美国国家科学基金会;
关键词
PREDICTIONS; INFORMATION; GENOMES;
D O I
10.1093/nar/gkn757
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We present a database DOOR (Database for prOkaryotic OpeRons) containing computationally predicted operons of all the sequenced prokaryotic genomes. All the operons in DOOR are predicted using our own prediction program, which was ranked to be the best among 14 operon prediction programs by a recent independent review. Currently, the DOOR database contains operons for 675 prokaryotic genomes, and supports a number of search capabilities to facilitate easy access and utilization of the information stored in it. (1) Querying the database: the database provides a search capability for a user to find desired operons and associated information through multiple querying methods. (2) Searching for similar operons: the database provides a search capability for a user to find operons that have similar composition and structure to a query operon. (3) Prediction of cis-regulatory motifs: the database provides a capability for motif identification in the promoter regions of a user-specified group of possibly coregulated operons, using motif-finding tools. (4) Operons for RNA genes: the database includes operons for RNA genes. (5) OperonWiki: the database provides a wiki page (OperonWiki) to facilitate interactions between users and the developer of the database. We believe that DOOR provides a useful resource to many biologists working on bacteria and archaea, which can be accessed at http://csbl1.bmb.uga.edu/OperonDB.
引用
收藏
页码:D459 / D463
页数:5
相关论文
共 10 条
  • [1] [Anonymous], 1999, Introduction to Graph Theory
  • [2] MEME: discovering and analyzing DNA and protein sequence motifs
    Bailey, Timothy L.
    Williams, Nadya
    Misleh, Chris
    Li, Wilfred W.
    [J]. NUCLEIC ACIDS RESEARCH, 2006, 34 : W369 - W373
  • [3] The relative value of operon predictions
    Brouwer, Rutger W. W.
    Kuipers, Oscar P.
    van Hijum, Sacha A. F. T.
    [J]. BRIEFINGS IN BIOINFORMATICS, 2008, 9 (05) : 367 - 375
  • [4] Operon prediction using both genome-specific and general genomic information
    Dam, Phuongan
    Olman, Victor
    Harris, Kyle
    Su, Zhengchang
    Xu, Ying
    [J]. NUCLEIC ACIDS RESEARCH, 2007, 35 (01) : 288 - 298
  • [5] Prediction of operons in microbial genomes
    Ermolaeva, MD
    White, O
    Salzberg, SL
    [J]. NUCLEIC ACIDS RESEARCH, 2001, 29 (05) : 1216 - 1221
  • [6] RegulonDB (version 6.0):: gene regulation model of Escherichia coli K-12 beyond transcription, active (experimental) annotated promoters and Textpresso navigation
    Gama-Castro, Socorro
    Jimenez-Jacinto, Veronica
    Peralta-Gil, Martin
    Santos-Zavaleta, Alberto
    Penaloza-Spinola, Monica I.
    Contreras-Moreira, Bruno
    Segura-Salazar, Juan
    Muniz-Rascado, Luis
    Martinez-Flores, Irma
    Salgado, Heladia
    Bonavides-Martinez, Cesar
    Abreu-Goodger, Cei
    Rodriguez-Penagos, Carlos
    Miranda-Rios, Juan
    Morett, Enrique
    Merino, Enrique
    Huerta, Araceli M.
    Trevino-Quintanilla, Luis
    Collado-Vides, Julio
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 : D120 - D124
  • [7] ODB: a database of operons accumulating known operons across multiple genomes
    Okuda, Shujiro
    Katayama, Toshiaki
    Kawashima, Shuichi
    Goto, Susumu
    Kanehisa, Minoru
    [J]. NUCLEIC ACIDS RESEARCH, 2006, 34 : D358 - D362
  • [8] Olman Victor, 2003, J Bioinform Comput Biol, V1, P21, DOI 10.1142/S0219720003000162
  • [9] A novel method for accurate operon predictions in all sequenced prokaryotes
    Price, MN
    Huang, KH
    Alm, EJ
    Arkin, AP
    [J]. NUCLEIC ACIDS RESEARCH, 2005, 33 (03) : 880 - 892
  • [10] DBTBS:: a database of transcriptional regulation in Bacillus subtilis containing upstream intergenic conservation information
    Sierro, Nicolas
    Makita, Yuko
    de Hoon, Michiel
    Nakai, Kenta
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 : D93 - D96