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dc.contributor.authorBělehrádek, Stanislav
dc.date.accessioned2020-05-07T09:40:26Z
dc.date.available2020-05-07T09:40:26Z
dc.date.issued2017cs
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 143-145. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187063
dc.description.abstractModern 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.en
dc.formattextcs
dc.format.extent143-145cs
dc.format.mimetypeapplication/pdfen
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectcellen
dc.subjectcell cycleen
dc.subjectmodellingen
dc.subjectsystem biologyen
dc.subjecttumor growthen
dc.titleSilicocell: A Novel Tool For Tumor And Cell Growth Simulationen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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