msc_tree_resampling

msc_tree_resampling implements gene-wise resampling to quantify branch support for clades inferred on species trees from gene-tree datasets within multispecies coalescent (MSC) two-step coalescent analyses.


Key Features:

  • Gene-wise Resampling: Implements gene-wise resampling that resamples genes rather than sites to preserve gene-tree estimations.
  • Bootstrap and Jackknife: Employs bootstrap and jackknife statistical methods to assess clade support under gene-wise resampling.
  • Compatibility with Coalescent Methods: Supports downstream coalescent inference with ASTRAL, MP-EST, NJst, and STAR.
  • Resampling Recommendation: Recommends gene-wise resampling over site-wise or combined gene+site resampling due to superior performance in maintaining gene-tree integrity.
  • Empirical Validation: Validated using data from three empirical phylogenomic studies, producing more conservative clade support than site-wise bootstrap analyses.

Scientific Applications:

  • Phylogenetic Inference: Quantifies branch support on species trees for multispecies coalescent phylogenomic studies and two-step coalescent analyses.
  • Conservative Support Estimation: Provides conservative support estimates to reduce the impact of gene-tree estimation errors on species-tree conclusions.

Methodology:

Performs gene-wise resampling and applies bootstrap and jackknife techniques, explicitly contrasting gene-wise resampling with site-wise resampling regarding gene-tree-estimation error.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
R, Perl
Added:
5/29/2019
Last Updated:
6/16/2020

Operations

Publications

Simmons MP, Sloan DB, Springer MS, Gatesy J. Gene-wise resampling outperforms site-wise resampling in phylogenetic coalescence analyses. Molecular Phylogenetics and Evolution. 2019;131:80-92. doi:10.1016/j.ympev.2018.10.001. PMID:30391518.

PMID: 30391518
Funding: - National Science Foundation: DEB - 1457735, MCB - 1733227