ksrates

ksrates analyzes whole-genome duplication (WGD) events relative to speciation by using substitution-rate-adjusted mixed paralog–ortholog Ks distributions to position ancient WGDs within phylogenetic contexts.


Key Features:

  • Substitution-rate adjustment: Adjusts for lineage-specific differences in substitution rates to enable accurate comparison of Ks distributions.
  • Mixed paralog–ortholog Ks distributions: Leverages combined paralog and ortholog Ks distributions to relate duplication peaks to speciation events.
  • Paralog and ortholog Ks analysis: Analyzes paralog (within-genome duplicates) and ortholog (between-species) Ks values.
  • Input sequence types: Processes Ks distributions derived from genomic and transcriptomic sequences.
  • Implementation: Implemented in Python 3.
  • Phylogenetic positioning of WGDs: Positions ancient WGD occurrences relative to speciation within phylogenetic frameworks.

Scientific Applications:

  • Phylogenetic analysis: Positions WGD events relative to speciation to inform evolutionary history and timing of genomic changes.
  • Comparative genomics: Compares Ks distributions across species or lineages to elucidate patterns of genome evolution.

Methodology:

Analyzes paralog and ortholog Ks values and applies lineage-specific substitution-rate adjustments to determine the timing of WGD events relative to speciation.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, workflow
Operating Systems:
Linux, Mac, Windows
Programming Languages:
Python
Added:
10/2/2021
Last Updated:
10/4/2021

Operations

Publications

Sensalari C, Maere S, Lohaus R. <i>ksrates</i> : positioning whole-genome duplications relative to speciation events in <i>K</i> S distributions. Bioinformatics. 2021;38(2):530-532. doi:10.1093/bioinformatics/btab602. PMID:34406368.

Documentation

Release notes', 'Installation instructions', 'User manual
https://ksrates.readthedocs.io/

Downloads

Links