Empower researchers to discover functional RNAs (including mRNAs, miRNAs, and lncRNAs) and their cancer targets with our cutting-edge prediction tools.


Prediction of ceRNA Interactions

Hermes helps unveil a network of miR-mediated interactions in TCGA glioblastoma, regulating thousands of genes via direct targeting, and enabling crosstalk between established oncogenic pathways.

Sumazin, Yang, and Chiu et al., Cell 2011.


Integrated miRNA-ceRNA Network Analysis

We present Cupid for simultaneous prediction of miRNA-target and ceRNA interactions in TCGA breast carcinomas. Cupid’s context-specific predictions outperform rivals with lower false positive rates.

Chiu, Llobet-Navas, et al., Genome Research 2015.
Chiu et al., BMC Genomics 2017.
Ustianenko, Chiu et al., Molecule Cell 2018.
Chiu, Martínez et al., Nucleic Acids Research 2018.


lncRNA Target Prediction

LongHorn (TCGA Pan-Cancer Atlas) unlocks how lncRNAs regulate genes in cancer (transcriptional & post-transcriptional) using large datasets. It identifies four models (Decoy, Co-factor, Guide, Switch) for these interactions through miRNAs, RBPs, and TFs.

Chiu, Somvanshi, et al., Cell Reports 2018.
Predictions were subsequently applied in studies by Campbell et al. (2018) published in Cell Reports and Berger et al. (2018) published in Cancer Cell.

RNA Atlas

Catalog of Non-Coding RNA Expression

RNA Atlas maps the human transcriptome across 300 normal cell and tissue types (PolyA+, Total RNA, miRNA seq), revealing a vast collection of RNAs, including new non-coding players in gene regulation. LongHorn leverages this data to predict functions of novel lncRNAs and circRNAs.

Lorenzi, Chiu et al., Nature Biotechnology 2021.


Enhanced lncRNA Target Prediction

BigHorn tackles lncRNA transcriptional target prediction with improved accuracy using flexible binding models (beyond triple-helical limitations). It excels at identifying co-regulated targets (transcriptional & post-transcriptional) by the same lncRNA, simplifying validation due to stronger regulation.

● Chiu, Somvanshi, et al. (submitted)