EvoLSTM
Revision as of 18:52, 12 August 2022 by Israel.herrera (talk | contribs)
Description
A recurrent neural network-based evolution simulator that captures mutational context dependencies. EvoLSTM uses a sequence-to-sequence long short-term memory model trained to predict mutation probabilities at each position of a given sequence, taking into consideration the 14 flanking nucleotides. EvoLSTM can realistically simulate mammalian and plant DNA sequence evolution and reveals unexpectedly strong long-range context dependencies in mutation probabilities. EvoLSTM brings modern machine-learning approaches to bear on sequence evolution. It will serve as a useful tool to study and simulate complex mutational processes.
Environment Modules
Run module spider EvolSTM to find out what environment modules are available for this application.
System Variables
- HPC_EVOLSTM_DIR - installation directory