GranatumX

GranatumX enables analysis of single-cell RNA sequencing (scRNA-seq) data to investigate cellular heterogeneity and complex biological systems.


Key Features:

  • Gbox plugin architecture: Gboxes are modular wrappers that encapsulate external bioinformatics tools for integration into analysis workflows.
  • Multi-language and multi-platform support: Gboxes can wrap tools developed in different programming languages and operate across multiple computing platforms.
  • Customizable pipelines: Analyses are constructed from user-selectable sequences of Gboxes to form customizable pipelines.
  • Reproducibility: Pipeline-based execution of Gboxes enables reproducible scRNA-seq analysis results.
  • Community extensibility: The architecture supports rapid sharing and dissemination of new analytical methods by software developers.

Scientific Applications:

  • scRNA-seq data analysis: Analysis of single-cell RNA sequencing data to characterize cellular heterogeneity and complex biological systems.
  • Method integration and dissemination: Incorporation and distribution of new bioinformatics methods for scRNA-seq within a modular ecosystem.
  • Reproducible collaborative research: Generation of reproducible analysis results suitable for use across diverse research settings and collaborative projects.

Methodology:

Analysis is performed via modular Gboxes that wrap external bioinformatics tools implemented in various programming languages and are composed into customizable pipelines to produce reproducible results.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
desktop application, web application
Operating Systems:
Mac, Linux, Windows
Added:
6/14/2022
Last Updated:
6/14/2022

Operations

Publications

Garmire DG, Zhu X, Mantravadi A, Huang Q, Yunits B, Liu Y, Wolfgruber T, Poirion O, Zhao T, Arisdakessian C, Stanojevic S, Garmire LX. GranatumX: A Community-Engaging, Modularized, and Flexible Webtool for Single-Cell Data Analysis. Genomics, Proteomics & Bioinformatics. 2021;19(3):452-460. doi:10.1016/j.gpb.2021.07.005. PMID:34973417. PMCID:PMC8864242.

PMID: 34973417
PMCID: PMC8864242
Funding: - trans-NIH Big Data to Knowledge: K01ES025434 - National Institutes of Health/National Institute of General Medical Sciences: P20 COBRE GM103457 - National Library of Medicine: R01 LM012373 - National Institute of Child Health and Human Development: R01 HD084633 - National Institute of General Medical Sciences: P20 COBRE GM103457 - National Institute of Environmental Health Sciences: K01ES025434 - U.S. National Library of Medicine: R01 LM012373

Links