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GranatumX:一个面向社区、模块化和灵活的单细胞数据分析网络工具。

GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis.

机构信息

Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.

Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.

出版信息

Genomics Proteomics Bioinformatics. 2021 Jun;19(3):452-460. doi: 10.1016/j.gpb.2021.07.005. Epub 2021 Dec 30.


DOI:10.1016/j.gpb.2021.07.005
PMID:34973417
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8864242/
Abstract

We present GranatumX, a next-generation software environment for single-cell RNA sequencing (scRNA-seq) data analysis. GranatumX is inspired by the interactive webtool Granatum. GranatumX enables biologists to access the latest scRNA-seq bioinformatics methods in a web-based graphical environment. It also offers software developers the opportunity to rapidly promote their own tools with others in customizable pipelines. The architecture of GranatumX allows for easy inclusion of plugin modules, named Gboxes, which wrap around bioinformatics tools written in various programming languages and on various platforms. GranatumX can be run on the cloud or private servers and generate reproducible results. It is a community-engaging, flexible, and evolving software ecosystem for scRNA-seq analysis, connecting developers with bench scientists. GranatumX is freely accessible at http://garmiregroup.org/granatumx/app.

摘要

我们介绍了 GranatumX,这是一个用于单细胞 RNA 测序(scRNA-seq)数据分析的下一代软件环境。GranatumX 的灵感来自于交互式网络工具 Granatum。GranatumX 使生物学家能够在基于网络的图形环境中访问最新的 scRNA-seq 生物信息学方法。它还为软件开发人员提供了一个机会,使他们能够在可定制的管道中与其他人一起快速推广自己的工具。GranatumX 的架构允许轻松包含插件模块,这些模块被命名为 Gboxes,它们围绕用各种编程语言和在各种平台上编写的生物信息学工具进行包装。GranatumX 可以在云或私有服务器上运行,并生成可重复的结果。它是一个用于 scRNA-seq 分析的具有社区参与性、灵活性和不断发展的软件生态系统,将开发人员与实验科学家联系起来。GranatumX 可在 http://garmiregroup.org/granatumx/app 上免费访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/1f87a6e7e843/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/a3c0c2617b0a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/09e64fcdbd2a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/1f87a6e7e843/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/a3c0c2617b0a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/09e64fcdbd2a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb97/8864242/1f87a6e7e843/gr3.jpg

相似文献

[1]
GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis.

Genomics Proteomics Bioinformatics. 2021-6

[2]
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引用本文的文献

[1]
Galaxy as a gateway to bioinformatics: Multi-Interface Galaxy Hands-on Training Suite (MIGHTS) for scRNA-seq.

Gigascience. 2025-1-6

[2]
Adding Highly Variable Genes to Spatially Variable Genes Can Improve Cell Type Clustering Performance in Spatial Transcriptomics Data.

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[3]
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[4]
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[5]
Advanced Single-cell Omics Technologies and Informatics Tools for Genomics, Proteomics, and Bioinformatics Analysis.

Genomics Proteomics Bioinformatics. 2021-6

[6]
Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data.

Genomics Proteomics Bioinformatics. 2021-4

本文引用的文献

[1]
Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data.

Genomics Proteomics Bioinformatics. 2021-4

[2]
ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses.

Nucleic Acids Res. 2020-7-2

[3]
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data.

Genome Biol. 2019-10-18

[4]
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BMC Genomics. 2019-8-27

[5]
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris.

Nature. 2018-10-3

[6]
Acquired cancer resistance to combination immunotherapy from transcriptional loss of class I HLA.

Nat Commun. 2018-9-24

[7]
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.

PLoS Comput Biol. 2018-6-25

[8]
Integrating single-cell transcriptomic data across different conditions, technologies, and species.

Nat Biotechnol. 2018-4-2

[9]
Exponential scaling of single-cell RNA-seq in the past decade.

Nat Protoc. 2018-3-1

[10]
SCANPY: large-scale single-cell gene expression data analysis.

Genome Biol. 2018-2-6

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