OrthoVenn2

OrthoVenn2 performs comparative analysis and annotation of orthologous gene clusters across multiple species to support comparative genomics and evolutionary studies.


Key Features:

  • Expanded Species Coverage: Supports comparison of up to 12 species, including vertebrates, metazoa, protists, fungi, plants, and bacteria.
  • Enhanced Data Visualization: Provides an occurrence pattern table and interactive Venn diagrams that represent disjunctions and intersections of orthologous clusters and summarize functional annotations.
  • Improved Functional Annotations: Supplies detailed functional summaries for each orthologous cluster to indicate gene function conservation and divergence across species.
  • Local Analysis Capability: Enables stand-alone execution for large-scale whole-genome dataset comparisons and local visualization without restrictions on the number of species.

Scientific Applications:

  • Comparative Genomics: Identification and comparison of orthologous gene clusters across multiple genomes to study conservation and divergence.
  • Evolutionary Biology and Phylogenetics: Analysis of conserved genetic elements to infer gene function evolution and evolutionary relationships among taxa.
  • Functional Genomics and Biomedical Target Discovery: Integration of functional annotations with orthologous clusters to aid in discovering candidate genes and conserved functions relevant to biomedical research.

Methodology:

Employs advanced algorithms to identify orthologous clusters from whole-genome data sets and integrates these clusters with functional annotations; interactive visualization displays occurrence patterns and cluster intersections.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
api, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Xu L, Dong Z, Fang L, Luo Y, Wei Z, Guo H, Zhang G, Gu YQ, Coleman-Derr D, Xia Q, Wang Y. OrthoVenn2: a web server for whole-genome comparison and annotation of orthologous clusters across multiple species. Nucleic Acids Research. 2019;47(W1):W52-W58. doi:10.1093/nar/gkz333. PMID:31053848. PMCID:PMC6602458.

PMID: 31053848
PMCID: PMC6602458
Funding: - National Natural Science Foundation of China: 31871330

Documentation

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