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Mining the Research Literature in Systems Biology

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Bioinformatics for Systems Biology

Abstract

The research literature in Systems Biology is growing exponentially, making it difficult for the researchers to efficiently search, retrieve, analyze, and apply the literature to new research in a timely fashion. This chapter helps researchers to efficiently search the major biomedical literature databases PubMed and the Web of Science, stay current with the literature using alert services, and manage personal article citation databases using bibliographic management software like EndNote. Tricks for getting the most out of database search interfaces and using them in innovative ways are presented. The chapter also discusses new bioinformatics tools that go beyond the standard database search interfaces and present the published literature in ways that elucidate hidden relationships within the Systems Biology research, which can lead to new information discovery and more productive research.

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Suggested Reading

MEDLINE

  1. MEDLINE Fact Sheet. United States National Library of Medicine, 2006. (Accessed July 21, 2007, at http://www.nlm.nih.gov/pubs/factsheets/medline.html)

Medical Subject Headings

  1. Medical Subject Headings (MeSH) Fact Sheet. 2005. (Accessed July 21, 2007, at http://www.nlm.nih.gov/pubs/factsheets/mesh.html)

Web of Science

  1. Web of Science. Thompson Scientific, 2007. (Accessed July 21, 2007, at http://scientific.thomson.com/products/wos/)

BIOSIS Previews

  1. BIOSIS Previews. Thompson Scientific, 2007. (Accessed July 21, 2007, at http://scientific.thomson.com/products/bp/)

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Correspondence to Keir T. Reavie .

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© 2009 Humana Press, a part of Springer Science+Business Media, LLC

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Reavie, K.T. (2009). Mining the Research Literature in Systems Biology. In: Krawetz, S. (eds) Bioinformatics for Systems Biology. Humana Press. https://doi.org/10.1007/978-1-59745-440-7_19

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