Large-scale open bioinformatics data resources

被引:0
|
作者
Stupka, E [1 ]
机构
[1] Natl Univ Singapore, Inst Mol & Cell Biol, Singapore 117609, Singapore
关键词
bioinformatics; database; genome; integration; microarray; open source; proteome; transcriptome;
D O I
暂无
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
The data explosion in bioinformatics is relentless. More and more genomes are being sequenced and many new types of datasets are being generated in large-scale projects. Integration and true open access to the data are still difficult issues, although they are gradually being addressed. Notably, certain fields have good standardization and interoperability, while others lag behind. This review summarizes the latest developments in genome and sequences databases, transcriptomics data (ESTs, ORESTES, full-length cDNAs), proteomics data (protein databases, protein structures, family and domain classification) as well as loosely integrated fields, such as microarray experiments, mutation databases and databases of regulatory regions and elements. The review attempts to resist simply summarizing what data are available, and aims to provide a critical look at some of the integration and access issues associated with several of these resources.
引用
收藏
页码:265 / 274
页数:10
相关论文
共 50 条
  • [21] Reconstruct Dynamic Systems from Large-Scale Open Data
    Tsai, Kun-Hung
    Lin, Chia-Yu
    Wang, Li-Chun
    Chen, Jian-Ren
    [J]. 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [22] Open flow ethernet fabric for large-scale data centers
    [J]. 1600, NEC Mediaproducts (10):
  • [23] Detailing the biomedical aspects of geroscience by molecular data and large-scale "deep" bioinformatics analyses
    Simm, Andreas
    Grosskopf, Anne
    Fuellen, Georg
    [J]. ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE, 2024, 57 (05): : 355 - 360
  • [24] SciSciNet: A large-scale open data lake for the science of science research
    Lin, Zihang
    Yin, Yian
    Liu, Lu
    Wang, Dashun
    [J]. SCIENTIFIC DATA, 2023, 10 (01)
  • [25] SciSciNet: A large-scale open data lake for the science of science research
    Zihang Lin
    Yian Yin
    Lu Liu
    Dashun Wang
    [J]. Scientific Data, 10
  • [26] LARGE-SCALE PERTURBATIONS IN THE OPEN UNIVERSE
    LYTH, DH
    WOSZCZYNA, A
    [J]. PHYSICAL REVIEW D, 1995, 52 (06) : 3338 - 3357
  • [27] Large-scale data visualization
    Ma, KL
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2001, 21 (04) : 22 - 23
  • [28] Harvesting Large-Scale Grids for Software Resources
    Katsifodimos, Asterios
    Pallis, George
    Dikaiakos, Marios D.
    [J]. CCGRID: 2009 9TH IEEE INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, 2009, : 252 - 259
  • [29] Validating large-scale lexical color resources
    Moroney, Nathan
    Beretta, Giordano
    [J]. HP Laboratories Technical Report, 2011, (226):
  • [30] rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics
    Jaume Bonet
    Zander Harteveld
    Fabian Sesterhenn
    Andreas Scheck
    Bruno E. Correia
    [J]. BMC Bioinformatics, 20