VOLTA
VOLTA performs co-expression network analysis of transcriptomics data to construct, compare, and identify communities and functional modules within gene co-expression networks.
Key Features:
- Customizable Network Analysis: Supports construction and manipulation of various network types and exposes individual functions to assemble bespoke workflows or use predefined pipelines.
- Multiple Algorithm Options: Implements multiple algorithms for each analysis step, including community detection and clustering algorithms.
- Predefined Analysis Pipelines: Provides end-to-end predefined pipelines for co-expression network workflows.
- Transcriptomics Focus: Specialized for networks derived from transcriptomics experiments and gene expression data.
Scientific Applications:
- Gene co-expression analysis: Construction and analysis of gene co-expression networks from transcriptomic datasets.
- Community and module detection: Identification and characterization of network communities and functional modules.
- Regulatory and interaction inference: Exploration of genetic interactions and regulatory mechanisms through network structure and modules.
Methodology:
Integrates multiple algorithms (including community detection and clustering), exposes individual functions, and provides customizable and predefined pipelines for co-expression network construction and analysis.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/20/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Pavel A, Federico A, del Giudice G, Serra A, Greco D. VOLTA: adVanced mOLecular neTwork Analysis. Bioinformatics. 2021;37(23):4587-4588. doi:10.1093/bioinformatics/btab642. PMID:34498028. PMCID:PMC8687180.