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Welcome to the user guide for IFNL-GLUE, a sequence-oriented resource developed using the GLUE software framework for the comparative genomic analysis of Interferon Lambda (IFNL) genes. This guide provides an overview of the project, its features, and instructions for using IFNL-GLUE to conduct robust comparative genomic analyses.
IFNL-GLUE is a specialized resource that enables systematic investigation of the Interferon Lambda (IFNL) gene family, including IFN-λ1, IFN-λ2, IFN-λ3, and IFN-λ4. These cytokines are key players in mucosal immunity, activating antiviral responses primarily in epithelial cells within the respiratory and gastrointestinal tracts. Their localized activity, mediated by the specific IFN-λ receptor (IFN-λR1), allows effective control of infections at mucosal surfaces without triggering widespread immune activation. Variations in IFNL genes, particularly IFN-λ4, have been linked to differences in disease susceptibility and treatment outcomes, underscoring their importance in host-pathogen interactions.
By leveraging the GLUE framework, IFNL-GLUE organizes genomic data in a relational database, allowing users to explore the diversity, evolution, and functional implications of genetic variation in IFNL genes through systematic comparative analysis.
IFNL-GLUE offers a range of features designed to facilitate comparative genomic research:
- Comprehensive Database: A curated collection of IFNL sequences with detailed metadata to support evolutionary and functional analyses.
- Pre-built Multiple Sequence Alignments: Downloadable alignments of IFNL genes to enable customized analyses.
- Phylogenetic Structure: Data organized in a phylogenetic format, helping users explore evolutionary relationships within the IFNL gene family.
- Rich Annotations: Detailed annotations of IFNL reference sequences for investigating conservation, structural contexts, and the functional significance of genetic variation.