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Systems biology 101—what you need to know

Nature Biotechnology volume 22, pages 473–475 (2004)Cite this article

Systems biology has spurred interest in thousands of researchers, some just starting their careers, others well established but interested in learning more about it. What is the best plan for scientists and students interested in a career in systems biology?

Why the excitement?

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References

  1. Ideker, T., Galitski, T. & Hood, L. A new approach to decoding life: Systems Biology. Annu. Rev. Genomics Hum. Genet. 2, 343–372 (2001).

    Article  CAS  Google Scholar 

  2. Kitano, H. Computational systems biology. Nature 420, 206–210 (2002).

    Article  CAS  Google Scholar 

  3. Bertalanffy, L.v. General systems theory: foundations, development, applications. (George Braziller, New York, 1969).

  4. Zhu, H. & Snyder, M. “Omic” approaches for unraveling signaling networks. Curr. Opin. Cell Biol. 14, 173–179 (2002).

    Article  CAS  Google Scholar 

  5. Zerhouni, E. Medicine. The NIH Roadmap. Science 302, 63–72 (2003).

    Article  CAS  Google Scholar 

  6. UK Biotechnology and Biological Sciences Research Council. World Class Science. Strategic Plan 2003–2008. (BBSRC, Swindon, UK, 2003).

  7. Ideker, T. & Lauffenburger, D.A. Building with a scaffold: emerging strategies for high- to low-level cellular modeling. Trends in Biotechnol. 21, 255–262 (2003).

    Article  CAS  Google Scholar 

  8. Friedman, N. Inferring cellular networks using probabilistic graphical models. Science 303, 799–805 (2004).

    Article  CAS  Google Scholar 

  9. Cohen, H. Systems biology: a pale beacon for biotechs. The Scientist 17, 52 (2003).

    Google Scholar 

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Acknowledgements

The author would like to thank Eric Neumann, Adam Feist, Benno Schwikowski, Bernhard Palsson and Kristyn Ideker for valuable discussions and material for this commentary. Funding was generously provided by National Institutes of Health grant 1-P41RR018627-01.

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  1. Department of Bioengineering, University of California, San Diego, La Jolla, 92093-0412, CA, USA

    Trey Ideker

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  1. Trey Ideker
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Ideker, T. Systems biology 101—what you need to know. Nat Biotechnol 22, 473–475 (2004). https://doi.org/10.1038/nbt0404-473

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