The Ma’ayan Lab has developed specialized resources for studying long non-coding RNAs (lncRNAs), focusing on their functions, regulatory roles, and associations with diseases. These tools integrate transcriptomic and network data to help researchers uncover how lncRNAs contribute to gene regulation, cellular processes, and therapeutic discovery.

Browse through the following categories to explore the various original resources we have developed:

Most Popular | Recently Published |  Enrichment Analysis | Drug and Target Discovery | Computational Platforms and Workflow Engines | Gene and Drug Pages | lncRNAs | Data Portals | Data Visualization Components | Deprecated

lncHUB2

Aggregated and Inferred Knowledge about Human and Mouse lncRNAs
The lncHUB2 Appyter or web-based application takes as input 18,705 unique human and 11,274 unique mouse lncRNAs and generates a report. This report contains useful information such as the predicted secondary structure and expression levels in various tissues and cell lines. Additionally, using gene–gene correlations generated from publicly available RNA-seq data from ARCHS4, lncHUB2 provides predicted biological functions, as well as predicted small molecules and CRISPR-KO gene regulators, and gene-gene co-expression networks to explore closely related genes and lncRNAs associations based on expression similarity.
PMID: 36869839

lncRNAlyzr

Enrichment Analysis for lncRNA Sets
lncRNAlyzr is a webserver application designed for lncRNAs enrichment analysis. lt has a database containing 33 lncRNA set libraries created by computing correlations between lncRNAs and annotated coding gene sets. After users submit a set of lncRNAs to lncRNAlyzr, the enrichment analysis results are visualized as ball-and-stick subnetworks where nodes are lncRNAs connected to enrichment terms from across selected lncRNA set libraries.
PMID: 40133794