RMut: R package for a Boolean sensitivity analysis against various types of mutations

Publishing date: 2019-04-11

Published on: PLOS ONE

summary: There have been many in silico studies based on a Boolean network model to investigate network sensitivity against gene or interaction mutations. However, there are no proper tools to examine the network sensitivity against many different types of mutations, including user-defined ones. To address this issue, the authors developed RMut, which is an R package to analyze the Boolean network-based sensitivity by efficiently employing not only many well-known node-based and edgetic mutations but also novel user-defined mutations.

authors: Hung-Cuong Trinh, Yung-Keun Kwon

link to paper: 10.1371/journal.pone.0213736

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