snoDB

snoDB catalogs human small nucleolar RNAs (snoRNAs) by integrating sequence information, expression patterns, target interactions, and annotations derived from high-throughput sequencing and RNA-RNA interaction studies to support analysis of canonical and non-canonical snoRNA functions.

Key Features:

• Comprehensive data integration: Consolidates sequence information, expression patterns, target interactions, and functional annotations from sequence databases, literature, and high-throughput experimental datasets.
• Expression visualization: Provides visualization of snoRNA expression data, including heatmaps, to display expression patterns across tissues or conditions.
• Functional annotation of canonical roles: Annotates canonical snoRNA functions such as guidance of site-specific modifications in ribosomal RNA relevant to ribosome biogenesis.
• Functional annotation of non-canonical roles: Captures reported non-canonical functions including modulation of alternative splicing and regulation of chromatin architecture.
• RNA–RNA interaction data integration: Incorporates RNA-RNA interaction datasets to identify and annotate snoRNA target interactions.

Scientific Applications:

• Ribosome biogenesis: Enables investigation of snoRNAs involved in rRNA modifications and their roles in ribosome assembly and function.
• Gene regulation: Supports study of snoRNA contributions to alternative splicing and chromatin architecture modulation affecting gene expression.
• Disease research: Facilitates analysis of snoRNA dysregulation in disease contexts for identification of potential biomarkers or therapeutic targets.

Methodology:

Integration of sequence information, expression patterns, target interactions, high-throughput sequencing data, and RNA-RNA interaction datasets.