Abstract
One of the goals of the Zebrafish Phenome Project is to systematically annotate the cellular-level morphological phenotypes associated with each gene in the zebrafish genome. Here, we offer demonstrations of two complementary software tools designed to help achieve that objective: SHIRAZ, a content-based image retrieval system designed for automated high-throughput annotation of histological phenotypes in the larval zebrafish, and CABERNET, a "crowdsourcing" application for histology image tagging that enables multiple domain experts to achieve consensus on ontology-compliant phenotype annotations. Potentially, such "consensus annotations" not only can be used to improve the accuracy of ground truth data for training SHIRAZ. but they can also be imported directly into PATO- compatible phenomic databases such as the Zebrafish Information Network.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 288-289 |
| Number of pages | 2 |
| Journal | CEUR Workshop Proceedings |
| Volume | 833 |
| State | Published - Dec 1 2011 |
| Event | 2nd International Conference on Biomedical Ontology, ICBO 2011 - Buffalo, NY, United States Duration: Jul 26 2011 → Jul 30 2011 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)