{"title":"Portable-CELLxGENE: standalone executables of CELLxGENE for easy installation.","authors":"George T Hall","doi":"10.46471/gigabyte.151","DOIUrl":null,"url":null,"abstract":"<p><p>Biologists who want to analyse their single-cell transcriptomics dataset must install and use specialist software via the command line. This is often impractical for non-bioinformaticians. Whilst the popular CELLxGENE software provides an intuitive graphical interface to facilitate analysis outside the command line, its server-side installation and execution remain complex. A version that is easier to install and run would allow non-bioinformaticians to take advantage of this valuable tool without needing to use the command line. This work introduces Portable-CELLxGENE, a standalone distribution of CELLxGENE that can be installed via a graphical interface. It contains an easy-to-use extension of the CELLxGENE-Gateway Python package to allow the analysis of multiple datasets. This tool enables non-bioinformaticians to carry out simple analyses independently.</p><p><strong>Availability and implementation: </strong>Versions of Portable-CELLxGENE for Windows and MacOS, along with source code, are available at https://george-hall-ucl.github.io/Portable-CELLxGENE-Docs. It is licensed under the GNU General Public License v3.</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2025 ","pages":"gigabyte151"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11894539/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GigaByte (Hong Kong, China)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46471/gigabyte.151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Biologists who want to analyse their single-cell transcriptomics dataset must install and use specialist software via the command line. This is often impractical for non-bioinformaticians. Whilst the popular CELLxGENE software provides an intuitive graphical interface to facilitate analysis outside the command line, its server-side installation and execution remain complex. A version that is easier to install and run would allow non-bioinformaticians to take advantage of this valuable tool without needing to use the command line. This work introduces Portable-CELLxGENE, a standalone distribution of CELLxGENE that can be installed via a graphical interface. It contains an easy-to-use extension of the CELLxGENE-Gateway Python package to allow the analysis of multiple datasets. This tool enables non-bioinformaticians to carry out simple analyses independently.
Availability and implementation: Versions of Portable-CELLxGENE for Windows and MacOS, along with source code, are available at https://george-hall-ucl.github.io/Portable-CELLxGENE-Docs. It is licensed under the GNU General Public License v3.