DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: The influence of the number of tree searches on maximum likelihood inference in phylogenomics

Abstract

This repository contains 19,414 multiple sequence alignments from 15 phylogenomic studies, all gene trees, and 20,000 simulated genes and trees.

Authors:
;
  1. Zhejiang University
  2. GLBRC - University of Wisconsin-Madison
Publication Date:
DOE Contract Number:  
SC0018409
Research Org.:
Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
heuristic tree search; hil climbing; local optima; maximum likelihood; phylogenomics; species tree estimation
OSTI Identifier:
3003590
DOI:
https://doi.org/10.6084/m9.figshare.17086259

Citation Formats

Shen, Xing-Xing, and Hittinger, Chris Todd. The influence of the number of tree searches on maximum likelihood inference in phylogenomics. United States: N. p., 2024. Web. doi:10.6084/m9.figshare.17086259.
Shen, Xing-Xing, & Hittinger, Chris Todd. The influence of the number of tree searches on maximum likelihood inference in phylogenomics. United States. doi:https://doi.org/10.6084/m9.figshare.17086259
Shen, Xing-Xing, and Hittinger, Chris Todd. 2024. "The influence of the number of tree searches on maximum likelihood inference in phylogenomics". United States. doi:https://doi.org/10.6084/m9.figshare.17086259. https://www.osti.gov/servlets/purl/3003590. Pub date:Tue Jun 25 04:00:00 UTC 2024
@article{osti_3003590,
title = {The influence of the number of tree searches on maximum likelihood inference in phylogenomics},
author = {Shen, Xing-Xing and Hittinger, Chris Todd},
abstractNote = {This repository contains 19,414 multiple sequence alignments from 15 phylogenomic studies, all gene trees, and 20,000 simulated genes and trees.},
doi = {10.6084/m9.figshare.17086259},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 25 04:00:00 UTC 2024},
month = {Tue Jun 25 04:00:00 UTC 2024}
}