Data for evaluation of diverse-seq algorithms
Authors/Creators
- 1. Australian National University
Description
The algorithms required for phylogenetics — multiple sequence alignment and phylogeny estimation — are both compute intensive. diverse-seq implements computationally efficient alignment-free algorithms that enable efficient prototyping for phylogenetic workflows. It can accelerate parameter selection searches for sequence alignment and phylogeny estimation by identifying a subset of sequences that are representative of the diversity in a collection. diverse-seq can further boost the performance of phylogenetic estimation by providing a seed phylogeny that can be further refined by a more sophisticated algorithm.
The data sets in this archive are either HDF5 stored whole microbial genomes or multiple sequence alignments of one-to-one orthologs from mammal species. The `wol.dvseqs` HDF5 file is derived from the data used in Zhu et al Nature Communications, 10(1), 5477 with the original fasta formatted files in wol.zip. The `soil.dvseqs` HDF5 file is derived from the genomes included in REFSOIL (Choi et al The ISME Journal, 11(4), 829–834), with the original genbank formatted files included in refsoil.zip. The data in `mammal-aligned.zip` are fasta formatted multiple sequence alignments of sequences sampled from Ensembl release 112.
Files
mammals-aligned.zip
Files
(22.0 GB)
Additional details
Dates
- Available
-
2024-11
Software
- Repository URL
- https://github.com/HuttleyLab/DiverseSeq
- Programming language
- Python
- Development Status
- Active