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