Ensembl variation resources

被引:57
作者
Chen, Yuan [1 ]
Cunningham, Fiona [1 ]
Rios, Daniel [1 ]
McLaren, William M. [1 ]
Smith, James [2 ]
Pritchard, Bethan [2 ]
Spudich, Giulietta M. [1 ]
Brent, Simon [2 ]
Kulesha, Eugene [1 ]
Marin-Garcia, Pablo [2 ]
Smedley, Damian [1 ]
Birney, Ewan [1 ]
Flicek, Paul [1 ,2 ]
机构
[1] European Bioinformat Inst, Cambridge CB10 1SD, England
[2] Wellcome Trust Sanger Inst, Cambridge CB10 1SA, England
来源
BMC GENOMICS | 2010年 / 11卷
基金
英国惠康基金; 英国医学研究理事会;
关键词
SEQUENCE VARIATION; GENOMIC SEQUENCES; DATABASE; MAP; SNP;
D O I
10.1186/1471-2164-11-293
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: The maturing field of genomics is rapidly increasing the number of sequenced genomes and producing more information from those previously sequenced. Much of this additional information is variation data derived from sampling multiple individuals of a given species with the goal of discovering new variants and characterising the population frequencies of the variants that are already known. These data have immense value for many studies, including those designed to understand evolution and connect genotype to phenotype. Maximising the utility of the data requires that it be stored in an accessible manner that facilitates the integration of variation data with other genome resources such as gene annotation and comparative genomics. Description: The Ensembl project provides comprehensive and integrated variation resources for a wide variety of chordate genomes. This paper provides a detailed description of the sources of data and the methods for creating the Ensembl variation databases. It also explores the utility of the information by explaining the range of query options available, from using interactive web displays, to online data mining tools and connecting directly to the data servers programmatically. It gives a good overview of the variation resources and future plans for expanding the variation data within Ensembl. Conclusions: Variation data is an important key to understanding the functional and phenotypic differences between individuals. The development of new sequencing and genotyping technologies is greatly increasing the amount of variation data known for almost all genomes. The Ensembl variation resources are integrated into the Ensembl genome browser and provide a comprehensive way to access this data in the context of a widely used genome bioinformatics system. All Ensembl data is freely available at http://www.ensembl.org and from the public MySQL database server at ensembldb.ensembl.org.
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页数:16
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共 33 条
  • [31] Variation resources at UC Santa Cruz
    Thomas, Daryl J.
    Trumbower, Heather
    Kern, Andrew D.
    Rhead, Brooke L.
    Kuhn, Robert M.
    Haussler, David
    Kent, W. James
    [J]. NUCLEIC ACIDS RESEARCH, 2007, 35 : D716 - D720
  • [32] Genome analysis of the platypus reveals unique signatures of evolution
    Warren, Wesley C.
    Hillier, LaDeana W.
    Graves, Jennifer A. Marshall
    Birney, Ewan
    Ponting, Chris P.
    Grutzner, Frank
    Belov, Katherine
    Miller, Webb
    Clarke, Laura
    Chinwalla, Asif T.
    Yang, Shiaw-Pyng
    Heger, Andreas
    Locke, Devin P.
    Miethke, Pat
    Waters, Paul D.
    Veyrunes, Frederic
    Fulton, Lucinda
    Fulton, Bob
    Graves, Tina
    Wallis, John
    Puente, Xose S.
    Lopez-Otin, Carlos
    Ordonez, Gonzalo R.
    Eichler, Evan E.
    Chen, Lin
    Cheng, Ze
    Deakin, Janine E.
    Alsop, Amber
    Thompson, Katherine
    Kirby, Patrick
    Papenfuss, Anthony T.
    Wakefield, Matthew J.
    Olender, Tsviya
    Lancet, Doron
    Huttley, Gavin A.
    Smit, Arian F. A.
    Pask, Andrew
    Temple-Smith, Peter
    Batzer, Mark A.
    Walker, Jerilyn A.
    Konkel, Miriam K.
    Harris, Robert S.
    Whittington, Camilla M.
    Wong, Emily S. W.
    Gemmell, Neil J.
    Buschiazzo, Emmanuel
    Jentzsch, Iris M. Vargas
    Merkel, Angelika
    Schmitz, Juergen
    Zemann, Anja
    [J]. NATURE, 2008, 453 (7192) : 175 - U1
  • [33] A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms
    Wong, GKS
    Liu, B
    Wang, J
    Zhang, Y
    Yang, X
    Zhang, ZJ
    Meng, QS
    Zhou, J
    Li, DW
    Zhang, JJ
    Ni, PX
    Li, SG
    Ran, LH
    Li, H
    Zhang, JG
    Li, RQ
    Li, ST
    Zheng, HK
    Lin, W
    Li, GY
    Wang, XL
    Zhao, WM
    Li, J
    Ye, C
    Dai, MT
    Ruan, J
    Zhou, Y
    Li, YZ
    He, XM
    Zhang, YZ
    Wang, J
    Huang, XG
    Tong, W
    Chen, J
    Ye, J
    Chen, C
    Wei, N
    Li, GQ
    Dong, L
    Lan, FD
    Sun, YQ
    Zhang, ZP
    Yang, Z
    Yu, YP
    Huang, YQ
    He, DD
    Xi, Y
    Wei, D
    Qi, QH
    Li, WJ
    [J]. NATURE, 2004, 432 (7018) : 717 - 722