CoExp Web

CoExp Web provides analysis and management of gene co-expression networks for brain transcriptomics by enabling exploration of modules of co-expressed genes across a collection of 109 brain-focused co-expression networks.

Key Features:

• Extensive co-expression collection: A repository of 109 co-expression networks focused on brain transcriptomics for analysis across multiple datasets.
• Gene grouping by mRNA correlation: Analysis of gene groupings based on highly correlated mRNA expression levels across samples.
• Weighted gene co-expression network support (WGCNA): Construction and analysis of weighted gene co-expression networks using WGCNA methodology.
• CoExpNets R package integration: Built upon the CoExpNets suite of R packages to support network construction and analysis.
• Module identification and annotation: Identification of modules of co-expressed genes and annotation to reveal biological functions and cellular specificity.
• Support for large-scale network datasets: Capability to explore and utilize multiple large-scale co-expression models.

Scientific Applications:

• Brain transcriptomics: Characterization of gene co-expression modules to reveal biological functions and cellular specificity within neural tissues.
• Cross-network gene annotation: Annotation of genes of interest across diverse brain network models to compare module membership and function.
• Biomarker and target discovery: Identification of candidate biomarkers or therapeutic targets related to neurological conditions through module analysis.

Methodology:

Modules of genes with highly correlated expression profiles are constructed from transcriptomic data using WGCNA and the CoExpNets R packages, and modules are annotated to identify biological functions and cellular specificities.