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

David G Garmire¹, Xun Zhu², Aravind Mantravadi³

¹Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.

Genomics, Proteomics & Bioinformatics

|January 1, 2022

Summary

GranatumX is a new web-based software for single-cell RNA sequencing (scRNA-seq) analysis, offering biologists easy access to bioinformatics tools and enabling developers to integrate their own methods. This flexible ecosystem promotes collaboration and reproducible research in scRNA-seq data analysis.

Keywords:

Analysis Module Pipeline Single-cell RNA sequencing Webtool

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Single-cell RNA sequencing (scRNA-seq) generates complex datasets requiring sophisticated analysis tools.
Existing scRNA-seq analysis platforms may lack flexibility or ease of use for biologists.
There is a need for integrated environments that connect bioinformatics tool developers with end-users.

Purpose of the Study:

To introduce GranatumX, a next-generation software environment for scRNA-seq data analysis.
To provide biologists with accessible, web-based graphical access to state-of-the-art bioinformatics methods.
To facilitate the integration and promotion of new bioinformatics tools by developers within customizable pipelines.

Main Methods:

Development of GranatumX, a web-based graphical environment inspired by the Granatum interactive webtool.
Implementation of a plugin architecture (Gboxes) for integrating bioinformatics tools written in various languages and platforms.
Deployment options for cloud or private servers ensuring reproducible results.

Main Results:

GranatumX provides an accessible platform for biologists to perform scRNA-seq analysis.
It enables developers to easily integrate and share their bioinformatics tools.
The software supports the creation of customizable and reproducible analysis pipelines.

Conclusions:

GranatumX serves as a flexible, community-engaging software ecosystem for scRNA-seq analysis.
It bridges the gap between bioinformatics developers and bench scientists.
The platform fosters innovation and collaboration in the field of single-cell genomics.