PhyloAcc-GT: A Bayesian Method for Inferring Patterns of Substitution Rate Shifts on Targeted Lineages Accounting for Gene Tree Discordance.

Authors:
Yan H; Hu Z; Thomas GWC; Edwards SV; Sackton TB and 1 more

Journal:
Mol Biol Evol

Publication Year: 2023

DOI:
10.1093/molbev/msad195

PMCID:
PMC10540510

PMID:
37665177

Journal Information

Full Title: Mol Biol Evol

Abbreviation: Mol Biol Evol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Molecular Biology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Core Indicators
Evidence found in paper:

"data availability phyloacc and phyloacc-gt are open source software under the gnu general public license (v3 0) and are freely available at https://phyloacc github io/ .; all input and output files for the analysis of the simulated data ratite data and mammal data as well as the scripts used to generate the figures in this manuscript are also available at https://github com/phyloacc/yan-etal-2022 with the exception of nucleotide alignments."

Evidence found in paper:

"data availability phyloacc and phyloacc-gt are open source software under the gnu general public license (v3 0) and are freely available at https://phyloacc github io/ .; all input and output files for the analysis of the simulated data ratite data and mammal data as well as the scripts used to generate the figures in this manuscript are also available at https://github com/phyloacc/yan-etal-2022 with the exception of nucleotide alignments."

COI Disclosure
Evidence found in paper:

"This work was supported by NIH R01 HG011485-01. H.Y. and J.S.L. were also supported in part by NSF DMS-2015411. We would like to thank Taehee Lee, Patrick Gemmell, Liang Liu, and Subir Shakya for discussion and Nathan Weeks for computational advice. We also thank two anonymous reviewers for their helpful suggestions during the review process, as well as the editor at MBE. The computations in this paper were run on the FASRC Cannon cluster supported by the FAS Division of Science Research Computing Group at Harvard University."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025