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