AnnoLnc2

AnnoLnc2 annotates novel human and mouse long non-coding RNAs (lncRNAs) to provide integrative sequence, structural, expression, regulatory, genetic association, and evolutionary annotations for functional interpretation.

Key Features:

• Comprehensive Annotation Modules: Provides sequence, structural, expression, regulatory, genetic association, and evolutionary annotation modules for novel lncRNAs.
• Updated Backend Datasets and Code Base: Maintains updated backend datasets and code base to improve annotation accuracy and computational performance.
• Standalone Package for Large-Scale Analysis: Offers a standalone package for batch processing and offline large-scale lncRNA analyses.

Scientific Applications:

• Regulatory role inference: Infers potential regulatory mechanisms of lncRNAs by identifying associated regulatory elements.
• Disease-associated variant and genetic association mapping: Associates lncRNAs with genetic variation and disease-related signals through genetic association analyses.
• Evolutionary conservation and divergence analysis: Assesses evolutionary patterns of lncRNAs to inform conservation and divergence studies.
• Expression-based functional inference: Uses expression profiles across tissues and conditions to support functional hypotheses for lncRNAs.

Methodology:

Integrates multiple data sources and analytical techniques and uses bioinformatics algorithms to analyze sequence data, predict structural features, assess expression levels across tissues and conditions, identify regulatory elements, and incorporate genetic association studies and evolutionary analyses.