GenOrigin

GenOrigin provides comprehensive age estimates for 9,102,113 protein-coding genes across 565 species to enable evolutionary and functional analyses of gene origination.


Key Features:

  • Extensive Gene Age Data: Catalogs ages of 9,102,113 protein-coding genes from 565 species, including 82 bacteria, 57 protists, 134 fungi, 58 plants, 56 metazoa, and 178 vertebrates.
  • Protein-family-based Dating: Derives gene age estimates using a protein-family-based pipeline that incorporates the Wagner parsimony algorithm.
  • Data Integration and Standardization: Integrates gene age estimates from multiple studies and standardizes them into time ranges expressed in million years for consistent cross-study comparison.
  • Comprehensive Annotations: Provides annotations for each gene including orthologs and paralogs and gene presence/absence across species trees with evolutionary timescales.

Scientific Applications:

  • Dating of Novel Genes: Enables precise dating of recently originated genes to investigate their functional implications.
  • Species-specific Gene Studies: Supports analysis of species-specific genes such as primate-specific genes to assess lineage-specific innovation.
  • Genomic Network Integration: Facilitates studies of how newly originated genes integrate into genomic networks and contribute to novel phenotypes.
  • Comparative Evolutionary Analyses: Supports comparative studies of gene origination and turnover across diverse taxa to explore patterns of biological diversity.

Methodology:

Gene age estimates are derived using a protein-family-based pipeline that incorporates the Wagner parsimony algorithm, with integration and standardization of age estimates into time ranges expressed in million years.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
1/22/2021

Operations

Publications

Tong Y, Shi M, Qian SH, Chen Y, Luo Z, Tu Y, Chen C, Chen Z. GenOrigin: A Comprehensive Protein-coding Gene Origination Database on the Evolutionary Timescale of Life. Unknown Journal. 2020. doi:10.1101/2020.10.17.342022.