Published June 23, 2022
| Version v1
Journal article
Open
matOptimize: A parallel tree optimization method enables online phylogenetics for SARS-CoV-2
Authors/Creators
- 1. University of California San Diego, Department of Electrical and Computer Engineering
- 2. University of California Santa Cruz, Biomolecular Engineering
- 3. Genome Bioinformatics Group of University of California Santa Cruz, CBSE/ITI (E2 515)
- 4. University of California Santa Cruz
- 5. University of California San Diego, Department of Bioengineering
- 6. Australian National University, Ecology and Evolution
- 7. University of California San Diego, Electrical and Computer Engineering
Description
This is the 100K-sample tree and 1M-sample tree used for benchmarking matOptimize and TNT.