lncHUB2

lncHUB2 aggregates and infers functional associations for long non-coding RNAs (lncRNAs) in human and mouse to support interpretation of their expression, structure, regulation, phenotypic effects, pathway involvement, disease associations, and perturbation responses.

Key Features:

• Extensive Database Coverage: Contains data for 18,705 human and 11,274 mouse lncRNAs.
• Secondary Structure Reports: Provides predicted secondary structure information for individual lncRNAs.
• Correlation Networks: Reports the most correlated coding genes and lncRNAs and provides networks that map these correlations.
• Mouse Phenotypic Predictions: Predicts phenotypes for mouse lncRNAs.
• Pathway and Process Predictions: Predicts involvement of lncRNAs in biological pathways and processes.
• Predicted Upstream Transcription Factor Regulators: Identifies predicted transcription factor regulators of lncRNA expression.
• Disease Association Predictions: Identifies predicted disease associations for lncRNAs.
• Expression and Subcellular Localization Profiles: Provides subcellular localization information and expression data across tissues, cell types, and cell lines.
• Perturbation Prioritization: Prioritizes small molecules and CRISPR knockout (CRISPR-KO) genes predicted to modulate lncRNA expression.

Scientific Applications:

• Functional Genomics: Elucidating roles of lncRNAs in gene regulation using structure, expression, and correlation data.
• Pathway Analysis: Inferring lncRNA involvement in biological pathways and processes from predictive annotations.
• Disease Research: Identifying candidate lncRNAs associated with diseases for follow-up studies.
• Drug Discovery and Perturbation Studies: Prioritizing small molecules and CRISPR-KO targets to test modulation of lncRNA expression.

Methodology:

The provided description does not specify the computational algorithms or statistical methods used.