Research Project
Grant-in-Aid for Young Scientists (B)
Cancer is caused by an evolutionary process where a normal cell acquires mutations and is subject to natural selection. To understand the evolutionary process, we have performed a series of studies by employing cancer evolution simulation. In this study we developed a novel tools for sensitivity analysis, which examines how parameter values affect evolutionary dynamics. the novel tool, MASSIVE first performs massively parallel simulations on a super computer and then examines the results by an interactive visualization tool, MASSIVE viewer. As an example of an application of MASSIVE, we analyzed cancer evolution simulation on a dimensional lattice and found that spatial resource bias prompts branching evolution.
本研究で開発した新しいパラメータ感受性解析手法 MASSIVEはこれまでの感受性解析手法とは全く異なる超並列計算と対話的可視化という二つの計算科学的技術を組み合わせ、幅広いパラメータ空間を直感的に探索可能にした点に新規性がある。我々はがんの進化シミュレーションの解析を目的に開発を行っているが、シミュレーション一般に応用可能な技術であり、感受性解析のデファクトスタンダードになると期待される。
All 2019 2018 2017 Other
All Journal Article (5 results) (of which Int'l Joint Research: 3 results, Peer Reviewed: 5 results, Open Access: 4 results) Presentation (3 results) (of which Int'l Joint Research: 1 results) Remarks (1 results)
PLoS One
Volume: 14(3) Issue: 3 Pages: e0210678-e0210678
10.1371/journal.pone.0210678
Cancer reserach
Volume: in press
120006452378
Cancer science
Volume: 109 Issue: 4 Pages: 884-892
10.1111/cas.13510
Cell report
Volume: 21 Issue: 8 Pages: 2223-2235
10.1016/j.celrep.2017.10.103
Cancer Sci.
Volume: 108(11) Issue: 11 Pages: 2239-2247
10.1111/cas.13391
https://www.hgc.jp/~niiyan/massive/