BASE

BASE integrates non-ubiquitous orthologous gene groups into comparative genomics selection analyses to estimate dN/dS (ω) across coding sequences.


Key Features:

  • Inclusion of non-ubiquitous orthogroups: Incorporates orthologous groups that are not ubiquitous across all species, enabling analysis of genes absent from some taxa.
  • Support for non-single-copy orthogroups: Processes orthogroups that are not single-copy, accommodating multi-copy gene families.
  • CodeML integration: Uses the CodeML framework to estimate selection pressures.
  • dN/dS (ω) estimation: Estimates the dN/dS ratio (ω) on coding sequences at both site-specific and phylogenetic levels.
  • Automated orthogroup processing: Automates processing of orthogroups for downstream selection analyses.
  • Scalability: Designed to scale to large datasets and diverse gene groups produced by modern sequencing technologies.

Scientific Applications:

  • Expanded selection regime analyses: Enables inclusion of non-ubiquitous orthogroups to increase genomic coverage in selection studies.
  • Assessment of selective pressures: Assesses selective pressures across sites and phylogenetic branches using dN/dS (ω) estimates from CodeML.
  • Comparative genomics across incomplete gene sets: Integrates genes absent in some lineages to investigate evolutionary dynamics across species.
  • Orthogroup-level evolutionary inference: Facilitates analysis of evolutionary patterns at the orthogroup level across multiple species.

Methodology:

BASE leverages CodeML to estimate dN/dS (ω) on coding sequences and automates processing of orthologous groups, including non-single-copy and non-ubiquitous gene sets, for site-specific and phylogenetic-level analyses.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Shell
Added:
1/18/2021
Last Updated:
1/31/2021

Operations

Publications

Forni G, Ruggeri AA, Piccinini G, Luchetti A. BASE: a novel workflow to integrate non-ubiquitous genes in comparative genomics analyses for selection. Unknown Journal. 2020. doi:10.1101/2020.11.04.367789.