Benchmarking Ortholog Identification Methods
Author Information
Author(s): Hulsen Tim, Huynen Martijn A, de Vlieg Jacob, Groenen Peter MA
Primary Institution: Centre for Molecular and Biomolecular Informatics, Radboud University Nijmegen
Hypothesis
The quality of orthology prediction is an important factor in the transfer of functional annotation.
Conclusion
The InParanoid program is the best ortholog identification method for identifying functionally equivalent proteins.
Supporting Evidence
- The study identified the InParanoid program as the best method for ortholog identification.
- Functional genomics data was used to measure the similarity in function of proteins from different species.
- Results showed a sensitivity/selectivity trade-off in ortholog identification methods.
Takeaway
This study looked at different methods to find similar proteins in different species and found that InParanoid works best for this.
Methodology
The study compared several ortholog identification methods using functional genomics data, including expression data and protein interaction data.
Potential Biases
The methods may produce different results based on the algorithms and data quality used.
Limitations
There is no 'gold standard' of protein function to benchmark ortholog identification methods, and the quality of data varied between species.
Digital Object Identifier (DOI)
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