Data for article "Phylogeny, biogeography, and diversification of the mining bee family Andrenidae'

This readme.txt file was generated on 2021-SEPT-3 by Silas Bossert
GENERAL INFORMATION
This readme files describes the supplementary files associated with the research article
Phylogeny, biogeography, and diversification of the mining bee family Andrenidae
by Silas Bossert, Thomas J. Wood, Sébastien Patiny, Denis Michez, Eduardo A.B. Almeida, Robert L. Minckley, Laurence Packer, John L. Neff, Robert S. Copeland, Jakub Straka, Alain Pauly, Terry Griswold, Seán G. Brady, Bryan N. Danforth, Elizabeth A. Murray
For questions and/or concerns please contact the lead author of the paper under silas.bossert [at] wsu.edu
This repository consists of 6 files.
###1. Supporting_Information.pdf###
This Pdf file is a detailed compilation of methods and results, and is instrumental for understanding the deposited files.
###2. Assembly_Files.tar.gz###
This compressed archive contains all UCE assembly files used in this study. This includes all assembly files generated in the course of this study, as well those from previously published research as described in the Supplementary Material Pdf.
###2. Concatenated_Alignment.tar.gz###
This archive contains the concatenated DNA sequence matrix used for phylogenetic estimates.
###3. Gene_Trees.tar.gz###
This archive contains 1,388 UCE gene trees estimates with IQ-Tree 2.
###4. Input_Files_Information.tar.gz###
This file contains various input and configuration files used in the above mentioned study. Specifically, it contains the input for the following analyses: (1) Method-of-Moments estimates, (2) BioGeoBEARS analyses, (3) BAMM analyses, (4) MrBayes runs, (5) RevBayes runs, (6) Spruceup run. Lastly, it contains the file specifying the numbers used to code species diversity of Andrenidae.
###5. Species_Tree_Files.tar.gz###
This file contains all species trees generated in the study in Newick format.
###6. High_Quality_Figures.zip###
This archive contains the main figures of the article in high resolution.