CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny

CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny

Abstract Background The rapid advancement of new genomic sequencing technology has enabled the development of multi-omic single-cell sequencing assays. These assays profile multiple modalities in the same cell and can often yield new insights not revealed with a single modality. For example, Cellula...

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Bibliographic Details
Main Authors: Garth L. Kong, Thai T. Nguyen, Wesley K. Rosales, Anjali D. Panikar, John H. W. Cheney, Theresa A. Lusardi, William M. Yashar, Brittany M. Curtiss, Sarah A. Carratt, Theodore P. Braun, Julia E. Maxson
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BMC Bioinformatics
Subjects:
CITE-Seq
Single-cell RNA-Seq
scRNA-Seq
R-Shiny
Single-cell
Multi-omic
Online Access:https://doi.org/10.1186/s12859-024-05762-1

Internet

https://doi.org/10.1186/s12859-024-05762-1

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