ontogetcommon

ontogetcommon identifies common ancestral terms within biological ontologies to support comparative and evolutionary analyses in molecular biology.


Key Features:

  • Ontology ancestor detection: Analyzes hierarchical structures of biological ontologies to determine common ancestral terms.
  • EMBOSS integration: Operates within the European Molecular Biology Open Software Suite (EMBOSS), using its framework for tool deployment.
  • C library extensibility: Utilizes extensive C programming libraries from EMBOSS to support development and computational analyses.
  • EMBOSS API and porting: Supports EMBOSS API programming guidelines and wrapping/porting of third-party applications under EMBOSS.

Scientific Applications:

  • Evolutionary biology: Identifies shared ontology ancestors to inform evolutionary relationships among biological entities.
  • Comparative genomics: Reveals conserved pathways and functions across species by detecting common ontology terms.
  • Functional annotation inference: Aids interpretation of gene function and protein interactions through shared ontology ancestry.
  • Hypothesis generation: Facilitates formulation of hypotheses and experimental planning by highlighting ancestral term relationships.

Methodology:

Analyzes hierarchical structures within biological ontologies to determine common ancestral terms and leverages EMBOSS C programming libraries and APIs for computational implementation.

Topics

Collections

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C
Added:
11/8/2015
Last Updated:
12/10/2018

Operations

Publications

Rice P, Longden I, Bleasby A. EMBOSS: The European Molecular Biology Open Software Suite. Trends in Genetics. 2000;16(6):276-277. doi:10.1016/s0168-9525(00)02024-2.

Bleasby AJ, Ison JC, Rice PM. EMBOSS Administrator's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151399.

Ison JC, Rice PM, Bleasby AJ. EMBOSS Developer's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151405.

Documentation

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