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TTP: Tool for Tumor Progression

  • Johannes G. Reiter
  • Ivana Bozic
  • Krishnendu Chatterjee
  • Martin A. Nowak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8044)

Abstract

In this work we present a flexible tool for tumor progression, which simulates the evolutionary dynamics of cancer. Tumor progression implements a multi-type branching process where the key parameters are the fitness landscape, the mutation rate, and the average time of cell division. The fitness of a cancer cell depends on the mutations it has accumulated. The input to our tool could be any fitness landscape, mutation rate, and cell division time, and the tool produces the growth dynamics and all relevant statistics.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Johannes G. Reiter
    • 1
  • Ivana Bozic
    • 2
    • 3
  • Krishnendu Chatterjee
    • 1
  • Martin A. Nowak
    • 2
    • 3
    • 4
  1. 1.IST Austria (Institute of Science and Technology Austria)KlosterneuburgAustria
  2. 2.Program for Evolutionary DynamicsHarvard UniversityCambridgeUSA
  3. 3.Department of MathematicsHarvard UniversityCambridgeUSA
  4. 4.Department of Organismic and Evolutionary BiologyHarvard UniversityCambridgeUSA

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