Mirage 2.0: fast and memory-efficient reconstruction of gene-content evolution considering heterogeneous evolutionary patterns among gene families

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...

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Bibliographic Details
Published inBioinformatics Vol. 38; no. 16; pp. 4039 - 4041
Main Authors Fukunaga, Tsukasa, Iwasaki, Wataru
Format Journal Article
LanguageEnglish
Published England Oxford University Press 10.08.2022
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Applications Notes
Biological Evolution
Dental Porcelain
Evolution, Molecular
Genome
Software
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Summary: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.
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ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btac433