Photo from wikipedia
Abstract Summary We present Mirage 2.0, which accurately estimates gene-content evolutionary history by considering heterogeneous evolutionary patterns among gene families. Notably, we introduce a deterministic pattern mixture model, which makes… Click to show full abstract
Abstract Summary We present Mirage 2.0, which accurately estimates gene-content evolutionary history by considering heterogeneous evolutionary patterns among gene families. Notably, we introduce a deterministic pattern mixture model, which makes Mirage substantially faster and more memory-efficient to be applicable to large datasets with thousands of genomes. Availability and implementation The source code is freely available at https://github.com/fukunagatsu/Mirage. Supplementary information Supplementary data are available at Bioinformatics online.
Journal Title: Bioinformatics
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!