Silicocell: A Novel Tool For Tumor And Cell Growth Simulation
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Modern research in cell biology requires utilization of advanced tools of systems biology as only the deep understanding of various signaling pathways in cells brings substantial information for setting up a targeted therapy for genetic disorders or cancer. Therefore, in silico modelling became an inseparable part of the cell research. Here, I present novel simple-to-control software to analyze and visualize a human cell colony dynamics based on cell cycle regulation and principles of known signaling pathways allowing a simulation of tumor cells proliferation in healthy tissue. The tool available at Github is written in C++ and utilizes OpenGL for visualization.
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 23st Conference STUDENT EEICT 2017. s. 143-145. ISBN 978-80-214-5496-5
- Student EEICT 2017