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Updated: Sep 6, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
Mirage 2.0: fast and memory-efficient reconstruction of gene-content evolution considering heterogeneous evolutionary
Tsukasa Fukunaga1, Wataru Iwasaki2
1Waseda Institute for Advanced Study, Waseda University, Tokyo 1690051, Japan.
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.
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