BioNERO
BioNERO provides integrated functions for biological network reconstruction and analysis from expression data within the R/Bioconductor ecosystem.
Key Features:
- Data Preprocessing: Robust expression data preprocessing methods for preparing raw biological data for downstream network analysis.
- Network Inference: Support for gene coexpression and regulatory network inference to construct biological networks from expression data.
- Functional Analyses: Tools for functional analysis to derive biological insights from inferred networks.
- Comparative Network Analysis: Methods for intra- and interspecies network comparisons to enable cross-condition and cross-species analyses.
Scientific Applications:
- Systems Biology: Use in systems biology and bioinformatics research for comprehensive network-based investigations.
- Gene Regulatory Mechanisms: Investigation of gene regulatory mechanisms using inferred regulatory networks.
- Coexpression Analysis: Exploration of gene coexpression patterns to identify correlated expression relationships.
- Comparative Studies: Comparison of networks across species or experimental conditions for evolutionary and cross-condition analyses.
Methodology:
Expression data preprocessing, gene coexpression and regulatory network inference, functional analyses, and intra- and interspecies network comparison.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 6/14/2021
- Last Updated:
- 8/18/2021
Operations
Publications
Almeida-Silva F, Venancio TM. BioNERO: an all-in-one R/Bioconductor package for comprehensive and easy biological network reconstruction. Unknown Journal. 2021. doi:10.1101/2021.04.10.439287.
Documentation
Links
Repository
https://github.com/almeidasilvaf/BioNEROIssue tracker
https://github.com/almeidasilvaf/BioNERO/issues