iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data

被引：13
|
作者：
Patel, Mitulkumar V. [1 ]
机构：
[1] Immunocore Ltd, Abingdon OX14 4RY, Oxon, England
来源：
BIOINFORMATICS | 2018年 / 34卷 / 24期
关键词：
D O I：
10.1093/bioinformatics/bty517
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Interactive platform for single-cell RNA-sequencing (iS-CellR) is a web-based Shiny application that is designed to provide user-friendly, comprehensive analysis of single-cell RNA sequencing data. iS-CellR has the capability to run on any modern web browser and provides an accessible graphical user interface that enables the user to perform complex single-cell RNA-sequencing analysis without requiring programming skills.
引用
收藏
页码：4305 / 4306
页数：2
相关论文
共 50 条
  • [31] Splatter: simulation of single-cell RNA sequencing data
    Luke Zappia
    Belinda Phipson
    Alicia Oshlack
    [J]. Genome Biology, 18
  • [32] A User-Friendly Visualization Tool for Multi-Omics Data
    Huh, Sunghyun
    Kim, Min-Sik
    [J]. PROTEOMICS, 2020, 20 (21-22)
  • [33] MetaConfigurator: A User-Friendly Tool for Editing Structured Data Files
    Neubauer, Felix
    Bredl, Paul
    Xu, Minye
    Patel, Keyuriben
    Pleiss, Jürgen
    Uekermann, Benjamin
    [J]. Datenbank-Spektrum, 2024, 24 (02) : 161 - 169
  • [34] ShinyArchR.UiO: user-friendly,integrative and open-source tool for visualization of single-cell ATAC-seq data using ArchR
    Sharma, Ankush
    Akshay, Akshay
    Rogne, Marie
    Eskeland, Ragnhild
    [J]. BIOINFORMATICS, 2022, 38 (03) : 834 - 836
  • [35] scAnnotate: an automated cell-type annotation tool for single-cell RNA-sequencing data
    Ji, Xiangling
    Tsao, Danielle
    Bai, Kailun
    Tsao, Min
    Xing, Li
    Zhang, Xuekui
    [J]. BIOINFORMATICS ADVANCES, 2023, 3 (01):
  • [36] scDA: Single cell discriminant analysis for single-cell RNA sequencing data
    Shi, Qianqian
    Li, Xinxing
    Peng, Qirui
    Zhang, Chuanchao
    Chen, Luonan
    [J]. Computational and Structural Biotechnology Journal, 2021, 19 : 3234 - 3244
  • [37] scDA: Single cell discriminant analysis for single-cell RNA sequencing data
    Shi, Qianqian
    Li, Xinxing
    Peng, Qirui
    Zhang, Chuanchao
    Chen, Luonan
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 : 3234 - 3244
  • [38] MTGO-SC, A Tool to Explore Gene Modules in Single-Cell RNA Sequencing Data
    Nazzicari, Nelson
    Vella, Danila
    Coronnello, Claudia
    Di Silvestre, Dario
    Bellazzi, Riccardo
    Marini, Simone
    [J]. FRONTIERS IN GENETICS, 2019, 10
  • [39] MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data
    Liu, Siyao
    Thennavan, Aatish
    Garay, Joseph P.
    Marron, J. S.
    Perou, Charles M.
    [J]. GENOME BIOLOGY, 2021, 22 (01)
  • [40] A new bioinformatics tool to recover missing gene expression in single-cell RNA sequencing data
    Li, Jingyi Jessica
    [J]. JOURNAL OF MOLECULAR CELL BIOLOGY, 2021, 13 (01) : 1 - 2
12345