OMAMO

OMAMO identifies optimal model organisms for studying specific human biological processes by leveraging conservation of pathways and orthologous genes across species and is implemented in JAVA.


Key Features:

  • Orthologous Relationship Analysis: OMAMO utilizes a comprehensive database of orthologous genes and pathways to determine which non-human species share significant genetic similarities with humans for specific biological processes.
  • Systematic Literature Review Support: OMAMO's recommendations are supported by systematic literature reviews that back suggested model organism choices.
  • Comprehensive Database: The database includes a wide range of species, expanding options beyond traditional models such as mice, rats, and zebrafish.

Scientific Applications:

  • Model organism selection for human biological processes: OMAMO supports selection of optimal model organisms for studying specific human biological processes by analyzing gene and pathway conservation.
  • Identification of simpler alternative model organisms: OMAMO enables identification of simpler, less complex organisms that can serve as alternatives to traditional models such as mice, rats, and zebrafish.
  • Comparative conservation analysis: OMAMO facilitates comparative analysis of pathway and gene conservation across species to inform model choice.

Methodology:

Analyzes orthologous relationships using a comprehensive database of orthologous genes and pathways to assess conservation of genes and pathways across species; recommendations are backed by systematic literature reviews; implemented in JAVA.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
4/10/2022
Last Updated:
4/10/2022

Operations

Data Inputs & Outputs

Data retrieval

Publications

Nicheperovich A, Altenhoff AM, Dessimoz C, Majidian S. OMAMO: orthology-based model organism selection. Unknown Journal. 2021. doi:10.1101/2021.11.04.467067.