Curation of Immunological Data
Author Information
Author(s): Vita Randi, Kerrie Vaughan, Laura Zarebski, Nima Salimi, Ward Fleri, Howard Grey, Muthu Sathiamurthy, John Mokili, Huynh-Hoa Bui, Philip E Bourne, Julia Ponomarenko, Romulo de Castro Jr, Russell K Chan, John Sidney, Stephen S Wilson, Scott Stewart, Scott Way, Bjoern Peters, Alessandro Sette
Primary Institution: La Jolla Institute for Allergy and Immunology
Hypothesis
How can complex, context-dependent immunological data be efficiently curated and made accessible?
Conclusion
Formalized curation strategies enable the processing of a large volume of context-dependent data, which are now available to the scientific community in an accessible and transparent format.
Supporting Evidence
- The IEDB was established as a centralized repository of immune epitope-associated information.
- Over 1200 references were manually curated within a six-month period.
- The curation process involves both automated queries and manual reviews by experts.
- Approximately 35% of initially selected references were categorized as uncuratable.
- The IEDB contains data on epitope recognition by antigen-specific receptors.
- Expert classifications for more than 11,000 abstracts have been generated.
- The curation process is designed to ensure quality, consistency, and transparency.
- Continual feedback from external experts is sought to improve curation practices.
Takeaway
This study shows how to organize and manage a lot of complicated information about immune responses so that scientists can easily find and use it.
Methodology
The study developed novel processes for manual and semi-automated annotation of immunological data from scientific literature.
Limitations
The complexity of the data precluded full automation, requiring significant manual curation.
Digital Object Identifier (DOI)
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