Data from: TreeMerge: A new method for improving the scalability of species tree estimation methods
Citation:
Molloy, Erin K.; Warnow, Tandy (2019): Data from: TreeMerge: A new method for improving the scalability of species tree estimation methods. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9570561_V1
Persistent link for this dataset:
Dataset Description

This repository includes scripts and datasets for the paper, "TreeMerge: A new method for improving the scalability of species tree estimation methods." The latest version of TreeMerge can be downloaded from Github (https://github.com/ekmolloy/treemerge).
Subject Life Sciences
Keywords divide-and-conquer; statistical consistency; species trees; incomplete lineage sorting; phylogenomics
License CC0
Funder U.S. National Science Foundation (NSF) - Grant: CCF-1535977
Funder U.S. National Science Foundation (NSF) - Grant: DGE-1144245
Corresponding Creator Tandy Warnow
Downloaded 822 times

Related Materials:
   Dataset Molloy, E.K. and Warnow, T. (2018). Data from: NJMerge: A generic technique for scaling phylogeny estimation methods and its application to species trees. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1424746_V1
   Dataset Molloy, E.K. and Warnow, T. (2018). Data from: Statistically consistent divide-and-conquer pipelines for phylogeny estimation using NJMerge. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0569467_V1
Version DOI Comment Publication Date
1 10.13012/B2IDB-9570561_V1 2019-03-19
Open in Globus File Manager what's this?
5.84 KB File
3.73 MB File
3.33 MB File
5.5 MB File
688 MB File
961 KB File
343 KB File
41.7 KB File
29.9 KB File
3.84 MB File

Contact the Research Data Service for help interpreting this log.

update: {"data_curation_network"=>[false, true]} 2019-04-09T17:58:46Z
update: {"subject"=>["", "Life Sciences"]} 2019-03-25T21:09:41Z