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Introduction to biology and chromosomal instabilities in cancer

Author

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  • Kroll, K.M.
  • Ferrantini, A.
  • Domany, E.

Abstract

The recent decade has witnessed a surge of physicists to biology. Some of the activities of the participating groups focus on bona fide physics questions, posed on biological systems (such as the physics of molecular motors, for example). Another kind of research in which physicists take part alongside computer scientists and applied mathematicians, deals with questions that are of direct interest to biologists; they come under the umbrella of computational and systems biology. The topic of these lectures lies at the most biological end of this spectrum, addressing problems of clinical relevance which were posed and initiated by biologists.

Suggested Citation

  • Kroll, K.M. & Ferrantini, A. & Domany, E., 2010. "Introduction to biology and chromosomal instabilities in cancer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(20), pages 4374-4388.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:20:p:4374-4388
    DOI: 10.1016/j.physa.2010.03.023
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    1. Mitchell Guttman & Ido Amit & Manuel Garber & Courtney French & Michael F. Lin & David Feldser & Maite Huarte & Or Zuk & Bryce W. Carey & John P. Cassady & Moran N. Cabili & Rudolf Jaenisch & Tarjei S, 2009. "Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals," Nature, Nature, vol. 458(7235), pages 223-227, March.
    2. Jason Gertz & Eric D. Siggia & Barak A. Cohen, 2009. "Analysis of combinatorial cis-regulation in synthetic and genomic promoters," Nature, Nature, vol. 457(7226), pages 215-218, January.
    3. Michael B. Elowitz & Stanislas Leibler, 2000. "A synthetic oscillatory network of transcriptional regulators," Nature, Nature, vol. 403(6767), pages 335-338, January.
    4. Eran Segal & Yvonne Fondufe-Mittendorf & Lingyi Chen & AnnChristine Thåström & Yair Field & Irene K. Moore & Ji-Ping Z. Wang & Jonathan Widom, 2006. "A genomic code for nucleosome positioning," Nature, Nature, vol. 442(7104), pages 772-778, August.
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