Viewing publicly available results

Click here for a list of ortholog datasets based on the QfO reference proteomes of 2022_02.
Please note that for this service the most recent datasets we use are the QfO dataset from 2020_04 and QfO dataset from 2022_02.

Testing your own method

Provide us your own ortholog inference data. After uploading your predictions, you will be able to compare the quality of your predictions against other orthology inference efforts using several tests.

QfO Reference Proteomes Dataset

Orthology inference is most often based on molecular protein sequences. For a comparison of different orthology prediction methods, a common set of sequences must be established. Therefore, only identical proteins are mapped to each other.

To make comparisons of method easier, the orthology research community has agreed in 2009 to established a common QfO reference proteome dataset. Currently, we are using the reference proteomes from 2020_04 and 2022_02 for benchmarking. The older datasets can no longer be used for benchmarking, but the results of the public projects stay for reference.

Dataset sources

All releases of the QfO Reference Proteomes are available from UniProtKB's archive FTP server. The currently recommended datasets for benchmarking are:

  • 2020_04: Recommended for all users of the service. Allows comparisons with established orthology inference methods.
  • 2022_02: Cutting edge dataset. Recommended for established resources. Predictions can only be compared to a few other methods.

See the documentation section for additional instructions how to format your orthology predictions.

This service is free for all users.

If you use the orthology benchmarking service in your work, please consider citing:
Nevers Y et al., The Quest for Orthologs benchmark service in 2022 Nucleic Acids Res, 2022 (doi: 10.1093/nar/gkac330)

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