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Updated: Mar 15, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Analyzing and interpreting genome data at the network level with ConsensusPathDB.

Ralf Herwig¹, Christopher Hardt¹, Matthias Lienhard¹

¹Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.

Nature Protocols

|September 9, 2016

Summary

This summary is machine-generated.

ConsensusPathDB integrates molecular interaction data from 32 sources to functionally characterize biomolecules. This tool rapidly identifies enriched pathways and network modules for interpreting high-throughput biological data.

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Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

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Published on: June 28, 2018

Area of Science:

Systems Biology
Bioinformatics
Computational Biology

Background:

Molecular interaction databases are crucial for understanding biological systems.
Integrating data from multiple repositories enhances comprehensiveness.
Existing tools may lack integrated functional and network analysis capabilities.

Purpose of the Study:

To describe the utilization of ConsensusPathDB for functional and network-based characterization of biomolecules.
To demonstrate the application of ConsensusPathDB for analyzing high-throughput experimental data.
To highlight the utility of ConsensusPathDB in interpreting omics data and generating biological insights.

Main Methods:

Integration of molecular interaction data from 32 public repositories.
Development of a web interface with computational and visualization tools.
Application of statistical over-representation, enrichment, and graph analysis methods.
Inputting biomolecules as priority lists or with associated experimental data (e.g., RNA-seq).

Main Results:

ConsensusPathDB provides a comprehensive collection of human, mouse, and yeast molecular interaction data.
The system identifies significantly enriched interaction network modules, biochemical pathways, and functional information.
Analysis results are generated rapidly, even for genome-wide datasets.
The tool facilitates mechanistic interpretation of high-throughput data.

Conclusions:

ConsensusPathDB offers a powerful platform for the functional and network-based characterization of biomolecules.
The integrated approach enables efficient interpretation of complex biological data.
Results support biomarker prioritization, multi-omics integration, and experimental design.