Published June 17, 2024
| Version v2
Dataset
Open
Phyloformer: Fast, accurate and versatile phylogenetic reconstruction with deep neural networks
Authors/Creators
Description
This record is composed of:
- The
results.tar.gzfile which contains all the output files necessary to reproduce the figures and tables from the linked paper - The 3 datasets used to fine tune different versions of Phylofofmer:
cherry_fine_tune.tar.xzused to fine tune Phyloformer on the CherryML modelLG_fine_tune_mre.tar.xzused to fine tune Phyloformer on LG+GC data with an MRE losspastek_fine_tune.tar.xzused to fine tune Phyloformer on the SelReg model
- The
paper_test_sets.tar.xzfile contains the test sets used to generate data inresults.tar.gz, with simulated tree/msa pairs and trees inferred by different methods
Files
Files
(39.6 GB)
Additional details
Related works
- Is supplement to
- Preprint: 10.1101/2024.06.17.599404 (DOI)
Software
- Repository URL
- https://github.com/lucanest/Phyloformer
- Programming language
- Python