Leveraging Logical Rules for Efficacious Representation of Large Orthology Datasets

By T. M. Farias, H. Chiba, J. Fernández-breis. 2017

11 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Adrian M. Altenhoff
2. Natasha M. Glover
3. Christophe Dessimoz
4. David Moi
5. Clément-Marie Train
6. A. Sima
7. Monique Zahn-Zabal
8. Kimberly J. Gilbert

Citations in the corpus

• OMA orthology in 2021: website overhaul, conserved isoforms, ancestral gene order and more (2020, methodology): “In the context of the Quest for Orthologs consortium, we coauthored the improvement and release of the ORTH ontology version 2 (36).”
• Enabling semantic queries across federated bioinformatics databases (2019, background): “Other homology information, such as one-to-one orthology or paralogy, can be derived from the hierarchical orthologous groups (HOGs) data structure (11, 40).”
• A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL (2019, methodology): “To this end, we extend the introduction and examples in (Chiba et al. , 2015) (de Farias et al. , 2017), while also covering multiple, distributed orthology data sources.”