EvoLSTM¶
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.
Environment Variables¶
- HPC_EVOLSTM_DIR - installation directory
- HPC_EVOLSTM_BIN - executable directory
Categories¶
biology