KNIT

KNIT constructs hierarchical directed graphs to represent gene networks and distinguish direct and indirect interactions between genes in omics experiments.

Key Features:

• Hierarchical Directed Graphs: Generates hierarchical, directed graph representations that map relationships among genes and illustrate how genes are interconnected with a gene of interest.
• Direct versus Indirect Interaction Distinction: Differentiates direct and indirect effects between genes within the network representation.
• Pathway and Interaction Mapping: Maps direct and indirect pathways influencing gene expression to enable exploration of network-level relationships.
• Contextual Information for Perturbations: Provides contextual insights specific to experiments involving changes in gene or protein expression, such as knock-out and overexpression studies.

Scientific Applications:

• Omics Gene Expression Analysis: Supports analysis and interpretation of gene expression patterns in omics studies.
• Genetic Perturbation Studies: Aids investigation of gene expression changes arising from knock-out and overexpression experiments.
• Pathway Interpretation and Hypothesis Generation: Facilitates interpretation of molecular pathways and generation of hypotheses about gene interactions.

Methodology:

Employs computational techniques to construct hierarchical, directed graphs from gene or protein expression changes that represent gene networks and distinguish direct versus indirect interactions.