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

ABSTRACT: 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, we 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. In addition, RMut can specify the mutation area and the duration time for more precise analysis. RMut can be used to analyze large-scale networks because it is implemented in a parallel algorithm using the OpenCL library. In the first case study, we observed that the real biol

SUBMITTER: Trinh HC 

PROVIDER: S-EPMC6424452 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature