EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 1, 2020
Abstract
MOTIVATION: Accurate probabilistic models of sequence evolution are essential for a wide variety of bioinformatics tasks, including sequence alignment and phylogenetic inference. The ability to realistically simulate sequence evolution is also at the core of many benchmarking strategies. Yet, mutational processes have complex context dependencies that remain poorly modeled and understood.