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PLAE web app enables powerful searching and multiple visualizations across one million unified single-cell ocular transcriptomes

2022-09-14

Abstract excerpt

<h4>PURPOSE</h4> To create a high performance reactive web application to query single cell gene expression data across cell type, species, study, and other factors. <h4>METHODS</h4> We updated the content and structure of the underlying data (single cell Eye in a Disk, scEiaD) and wrote the web application PLAE ( https://plae.nei.nih.gov ) to visualize and explore it. <h4>RESULTS</h4> The new portal provides...

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Literature Corpus work
289e4c47-0c77-5f87-8cc7-48a06a6efac4
DOI
10.1101/2022.09.12.507632
Open publication

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