One central concept in the OMA project and other
work we do to infer relationships between genes is that of Hierarchical
Orthologous Groups, or "HOGs" for the initiated.
We’ve written several papers on aspects pertaining to HOGs—[how to infer
them](http://doi.org/10.1371/journal.pone.0053786),
how to evaluate them, [them being
increasingly adopted by orthology
resources](http://doi.org/10.1093/bioinformatics/btu492), etc.—but there is
still a great deal of confusion as to what HOGs are and why they matter.
Natasha Glover, talented postdoc in the lab, has produced a brief video to
introduce HOGs and convey why we are mad about them!
References
Altenhoff, A., Gil, M., Gonnet, G., & Dessimoz, C. (2013). Inferring Hierarchical Orthologous Groups from Orthologous Gene Pairs PLoS ONE, 8 (1) DOI: 10.1371/journal.pone.0053786
Boeckmann, B., Robinson-Rechavi, M., Xenarios, I., & Dessimoz, C. (2011). Conceptual framework and pilot study to benchmark phylogenomic databases based on reference gene trees Briefings in Bioinformatics, 12 (5), 423-435 DOI: 10.1093/bib/bbr034
Sonnhammer, E., Gabaldon, T., Sousa da Silva, A., Martin, M., Robinson-Rechavi, M., Boeckmann, B., Thomas, P., Dessimoz, C., & , . (2014). Big data and other challenges in the quest for orthologs Bioinformatics, 30 (21), 2993-2998 DOI: 10.1093/bioinformatics/btu492
