COMMAND

COMMAND acquires, re-annotates, and consolidates microarray and RNA-seq gene expression datasets from public repositories (e.g., NCBI SRA) to produce integrated compendia for comparative and downstream transcriptomic analyses.


Key Features:

  • Data Acquisition: Retrieves gene expression data from public repositories, supporting RNA-seq raw reads (e.g., NCBI SRA) and various microarray data formats.
  • Flexible Search and Download: Searches public repositories for specific gene expression experiments and extracts relevant experiment files and information.
  • Data Re-annotation: Re-annotates microarray platforms to align datasets with current genomic annotations.
  • Coherent Data Model Presentation: Consolidates heterogeneous expression data into a unified, coherent data model for downstream analysis.
  • Multi-user Capability: Supports concurrent access and management of datasets by multiple users.

Scientific Applications:

  • Cellular response profiling: Enables profiling of cellular responses to stimuli through integrated gene expression datasets.
  • Local compendium generation: Produces local compendia of integrated gene expression data for aggregated analyses.
  • Comparative gene expression analysis: Facilitates comparison of gene expression across different conditions or treatments.
  • Biomarker and therapeutic target identification: Supports identification of novel biomarkers and therapeutic targets from integrated datasets.
  • Regulatory network analysis: Enables investigation of complex regulatory networks in biological systems using consolidated expression data.

Methodology:

Automated retrieval of experiment files from public repositories; re-annotation of microarray platform annotations to current genomic standards; integration and presentation of datasets in a unified data model.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript, Python
Added:
5/22/2019
Last Updated:
6/16/2020

Operations

Publications

Moretto M, Sonego P, Villaseñor-Altamirano AB, Engelen K. First step toward gene expression data integration: transcriptomic data acquisition with COMMAND>_. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-2643-6. PMID:30691411. PMCID:PMC6348648.

PMID: 30691411
PMCID: PMC6348648
Funding: - Provincia Autonoma di Trento: Accordo di Programma P1611051I