{"title":"DaniocellDesktop: for Interactive Reanalysis of Wild-Type Zebrafish Single-Cell Genomic Data.","authors":"Alicia Evans, Jeffrey A Farrell","doi":"10.1177/15458547251376181","DOIUrl":null,"url":null,"abstract":"<p><p>DaniocellDesktop is a cross-platform interactive desktop application designed to facilitate reanalysis of a previously published 462,243-cell single-cell RNAseq dataset that profiled cell-type-specific gene expression across the first 5 days of wild-type zebrafish development. DaniocellDesktop enables custom redefinition of cell populations, identification of differentially expressed genes, and generation of several types of publication-ready plots to show gene expression patterns, gene co-expression patterns, and gene expression over time within these previously published data without requiring any specific programming knowledge. This software is available from https://daniocell.nichd.nih.gov/desktop/.</p>","PeriodicalId":94273,"journal":{"name":"Zebrafish","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zebrafish","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15458547251376181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
DaniocellDesktop is a cross-platform interactive desktop application designed to facilitate reanalysis of a previously published 462,243-cell single-cell RNAseq dataset that profiled cell-type-specific gene expression across the first 5 days of wild-type zebrafish development. DaniocellDesktop enables custom redefinition of cell populations, identification of differentially expressed genes, and generation of several types of publication-ready plots to show gene expression patterns, gene co-expression patterns, and gene expression over time within these previously published data without requiring any specific programming knowledge. This software is available from https://daniocell.nichd.nih.gov/desktop/.