IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v455y2008i7209d10.1038_455047a.html
   My bibliography  Save this article

The future of biocuration

Author

Listed:
  • Doug Howe

    (The Zebrafish Information Network, 5291 University of Oregon)

  • Maria Costanzo

    (Saccharomyces and Candida Genome Databases, Stanford University)

  • Petra Fey

    (dictyBase, Northwestern University Biomedical Informatics Center)

  • Takashi Gojobori

    (Centre for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, Research Organization of Information and Systems)

  • Linda Hannick

    (J. Craig Venter Institute, Applied Bioinformatics)

  • Winston Hide

    (South African National Bioinformatics Institute, University of the Western Cape, Private Bag X17
    Harvard School of Public Health)

  • David P. Hill

    (Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor)

  • Renate Kania

    (Scientific Databases and Visualization, EML Research GmbH, Villa Bosch, Schloss-Wolfsbrunnenweg 33)

  • Mary Schaeffer

    (University of Missouri
    Plant Genetics Research Unit, Agricultural Research Service)

  • Susan St Pierre

    (FlyBase, Harvard University)

  • Simon Twigger

    (Rat Genome Database, Bioinformatics Research Center, Medical College of Wisconsin)

  • Owen White

    (Institute for Genome Sciences, University of Maryland School of Medicine)

  • Seung Yon Rhee

    (The Arabidopsis Information Resource, Carnegie Institution for Science)

Abstract

To thrive, the field that links biologists and their data urgently needs structure, recognition and support.

Suggested Citation

  • Doug Howe & Maria Costanzo & Petra Fey & Takashi Gojobori & Linda Hannick & Winston Hide & David P. Hill & Renate Kania & Mary Schaeffer & Susan St Pierre & Simon Twigger & Owen White & Seung Yon Rhee, 2008. "The future of biocuration," Nature, Nature, vol. 455(7209), pages 47-50, September.
  • Handle: RePEc:nat:nature:v:455:y:2008:i:7209:d:10.1038_455047a
    DOI: 10.1038/455047a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/455047a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/455047a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu Yinbin & Zhang Xiaoyue, 2021. "Research on the Overall Architecture and Application of E-Sports Big Data," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 116-116, July.
    2. Carbone, Anna & Jensen, Meiko & Sato, Aki-Hiro, 2016. "Challenges in data science: a complex systems perspective," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 1-7.
    3. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    4. Renchu Guan & Chen Yang & Maurizio Marchese & Yanchun Liang & Xiaohu Shi, 2014. "Full Text Clustering and Relationship Network Analysis of Biomedical Publications," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.
    5. Gheorghe MILITARU & Massimo POLLIFRONI & Alexandra IOANID, 2015. "Big Data In Supply Chain Management: An Exploratory Study," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 6, pages 103-108, December.
    6. Vivek Kumar Singh & Sumit Kumar Banshal & Khushboo Singhal & Ashraf Uddin, 2015. "Scientometric mapping of research on ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 727-741, November.
    7. Michael Marcinkowski, 2016. "Data, ideology, and the developing critical program of social informatics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1266-1275, May.
    8. Stieglitz, Stefan & Mirbabaie, Milad & Ross, Björn & Neuberger, Christoph, 2018. "Social media analytics – Challenges in topic discovery, data collection, and data preparation," International Journal of Information Management, Elsevier, vol. 39(C), pages 156-168.
    9. Hayda Almeida & Marie-Jean Meurs & Leila Kosseim & Greg Butler & Adrian Tsang, 2014. "Machine Learning for Biomedical Literature Triage," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.
    10. Ekaansh Khosla & Ramesh Dharavath & Rashmi Priya, 2020. "Crop yield prediction using aggregated rainfall-based modular artificial neural networks and support vector regression," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5687-5708, August.
    11. Hong-Jie Dai & Johnny Chi-Yang Wu & Richard Tzong-Han Tsai, 2013. "Collective Instance-Level Gene Normalization on the IGN Corpus," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-10, November.
    12. Harley, Diane & Acord, Sophia Krzys, 2011. "Peer Review in Academic Promotion and Publishing: Its Meaning, Locus, and Future," University of California at Berkeley, Center for Studies in Higher Education qt1xv148c8, Center for Studies in Higher Education, UC Berkeley.
    13. Sabrina de Azevedo Silveira & Raquel Cardoso de Melo-Minardi & Carlos Henrique da Silveira & Marcelo Matos Santoro & Wagner Meira Jr, 2014. "ENZYMAP: Exploiting Protein Annotation for Modeling and Predicting EC Number Changes in UniProt/Swiss-Prot," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-12, February.
    14. Řezník, T. & Lukas, V. & Charvát, K. & Horáková, Š. & Charvát junior, K., 2015. "Towards Farm-Oriented Open Data in Europe: the Scope and Pilots of the European Project "FOODIE"," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(1), pages 1-8, March.
    15. Perrons, Robert K. & McAuley, Derek, 2015. "The case for “n«all”: Why the Big Data revolution will probably happen differently in the mining sector," Resources Policy, Elsevier, vol. 46(P2), pages 234-238.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:455:y:2008:i:7209:d:10.1038_455047a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.