Biomedical Literature Mining

  • Vinod D. Kumar
  • Hannah Jane Tipney

Part of the Methods in Molecular Biology book series (MIMB, volume 1159)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Principles of Text Mining: Getting Started

    1. Front Matter
      Pages 9-9
    2. Ritu Khare, Robert Leaman, Zhiyong Lu
      Pages 11-31
    3. Heng-Yi Wu, Chien-Wei Chiang, Lang Li
      Pages 47-75
    4. Georgios A. Pavlopoulos, Vasilis J. Promponas, Christos A. Ouzounis, Ioannis Iliopoulos
      Pages 77-92
  3. Seeking New Biology by Unlocking “Hidden” Information

    1. Front Matter
      Pages 93-93
    2. Andreas Heinzel, Irmgard Mühlberger, Raul Fechete, Bernd Mayer, Paul Perco
      Pages 109-133
    3. Jan Czarnecki, Adrian J. Shepherd
      Pages 135-145
    4. Siddhartha R. Jonnalagadda, Philip S. Topham, Edward J. Silverman, Ryan G. Peeler
      Pages 147-157
    5. Ingrid Petrič, Bojan Cestnik
      Pages 159-168
  4. From Electronic Biology to Drug Discovery and Development

    1. Front Matter
      Pages 169-169
    2. Deepak K. Rajpal, Xiaoyan A. Qu, Johannes M. Freudenberg, Vinod D. Kumar
      Pages 171-206
    3. Chao Wu, Cheng Zhu, Anil G. Jegga
      Pages 207-226
    4. Luis B. Tari, Jagruti H. Patel
      Pages 253-267
    5. Elizabeth S. Chen, Indra Neil Sarkar
      Pages 269-286
  5. Back Matter
    Pages 287-288

About this book


Biomedical Literature Mining,  discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches, and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.


Authoritative and practical, Biomedical Literature Mining  is  designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in, or entirely new to, the field.


biomedical literature domain-specific mining methods domains drug discovery genomics information retrieval integrated text-mining approaches retrieval methods systems biology

Editors and affiliations

  • Vinod D. Kumar
    • 1
  • Hannah Jane Tipney
    • 2
  1. 1.GlaxoSmithKlineKing of PrussiaUSA
  2. 2.GlaxoSmithKlineHitchinUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-0708-3
  • Online ISBN 978-1-4939-0709-0
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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