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Integrative Biological Databases

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Application of Clinical Bioinformatics

Part of the book series: Translational Bioinformatics ((TRBIO,volume 11))

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Abstract

High throughput biotechnology brought an increasing number of the omics data across the species, making it possible to understand the genomic and genetic information in a systematic way. In this chapter, we introduce some valuable biological knowledgebase, covering the integrative aspects of the pathway structures, the molecular functions, macromolecular structures, molecular interactions, and so on. Moreover, a list of these databases is summarized in a table at the end of this chapter for a quick review.

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Author information

Authors and Affiliations

  1. School of Life Science and Technology, Tongji University, 1239 Siping Road, 200092, Shanghai, People’s Republic of China

    Jinzeng Wang & Haiyun Wang

Authors
  1. Jinzeng Wang
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  2. Haiyun Wang
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Corresponding author

Correspondence to Haiyun Wang .

Editor information

Editors and Affiliations

  1. Shanghai Inst.of Clinical Bioinformatics, Zhongshan Hospital, Fudan University, Shang Hai, China

    Xiangdong Wang

  2. Institute of Health Care Engineering, Graz University of Technology, Graz, Austria

    Christian Baumgartner

  3. School Of Medicine & Medical Science, University College Dublin, Dublin 4, Ireland

    Denis C. Shields

  4. Health and Tropical Medicine, Tulane University School of Public Healt, New Orleans, Louisiana, USA

    Hong-Wen Deng

  5. Section of Clinical Bioinformatics, Swiss Institute of Bioinformatics, Switzerland

    Jacques S Beckmann

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© 2016 Springer Science+Business Media Dordrecht

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Wang, J., Wang, H. (2016). Integrative Biological Databases. In: Wang, X., Baumgartner, C., Shields, D., Deng, HW., Beckmann, J. (eds) Application of Clinical Bioinformatics. Translational Bioinformatics, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7543-4_11

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