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.

PMID: 34498028
PMCID: PMC8687180
Funding: - Academy of Finland: 322761

Documentation