Eukaryotic Molecular Evolution Data for Rate Variability Analysis

Erik Tamre's data supplement for the manuscript "Variability and scale-dependence in molecular evolution rate impacts interpretation of eukaryotic evolutionary histories" contains Python scripts, sequence alignments, and phylogenetic trees. The 8.3 MB archive includes FASTA, PHYLIP, and NEXUS files derived from two prior molecular clock studies. It was last updated on 2026-05-26.

Use Cases

• Calculate substitution rates across phylogenetic branches based on provided chronograms and scripts.
• Visualize the relationship between substitution rate and branch length using the included plotting scripts.
• Reconstruct ultrametric trees from raw topology and node age data for downstream analyses.
• Subsample large sequence alignments to specified lengths for controlled experiments.

Strengths

• Includes Python scripts for analysis and visualization, enabling reproducibility.
• Data is derived from two published molecular clock studies, providing a foundation for comparative analysis.
• Files are provided in standard bioinformatics formats (FASTA, PHYLIP, NEXUS) for broad tool compatibility.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The 8.3 MB size suggests a small-scale, focused dataset, not a large-scale genomic resource.

Provenance

Source

figshare

Collection Method

Derived from publicly available data from Strassert et al. (2021) and Dohrmann & Wörheide (2017).

Freshness

Last updated 2026-05-26 05:39:36; freshness should be verified.