Research Areas
There are 9 research areas on National Eye Institute Data Commons.
Learn about the precise description of AMD disease pathobiology by using AMD genetic risk factors as sentinels for specific RPE signaling pathways and for changes in RPE physiology.
Explore open-source software tools developed for adaptive optics retinal imaging data.
Probe the relatedness and biological processes between the cornea, retina, RPE (choroid), and the rest of the human tissues by using a fully integrated dataset with differential expression, clustering, and GO term enrichment tools.
Learn about the phenotype and genotype data for over 30 inherited eye conditions.
Learn more about data and code generated from the Neurobiology Neurodegeneration and Repair Laboratory at NEI.
NEI has made the Ocular Proteome dataset available so that researchers can analyze protein changes related to genetic eye diseases.
Learn about a clinical trial aimed to validate a survey tool that assesses visual symptoms both before and after LASIK surgery and to identify changes over a short period of time.
Learn about data and code that accompany papers published by the Perception, Cognition, and Action Section at NEI.
Learn about gene expression by retina cell type across different studies, four organisms, and multiple developmental stages.