Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning.

ABSTRACT: Reconstructing the phylogenetic relationships between species is one of the most formidable tasks in evolutionary biology. Multiple methods exist to reconstruct phylogenetic trees, each with their own strengths and weaknesses. Both simulation and empirical studies have identified several "zones" of parameter space where accuracy of some methods can plummet, even for four-taxon trees. Further, some methods can have undesirable statistical properties such as statistical inconsistency and/or the tendency to be positively misleading (i.e. assert strong support for the incorrect tree topology). Recently, deep learning techniques have made inroads on a number of both new and longstanding problems in biological research. In this study, we designed a deep convolutional neural network (CNN) to infe

SUBMITTER: Suvorov A 

PROVIDER: S-EPMC8204903 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature