| URL: | https://ibl.mdanderson.org/tanric/_design/basic/main.html |
| Full name: | the atlas of noncoding RNAs in cancer |
| Description: | TANRIC is an interactive open platform to explore the function of lncRNAs in cancer. It comprehensively characterizes the expression profiles of >12,000 annotated human lncRNAs over 8,000 tumor samples of ~20 TCGA cancer types, and non-TCGA large-scale cancer RNA-seq data are also included. TANRIC allows for querying of the expression profile of user-defined genomic regions, and Interactively analyzing lncRNAs of interest with other TCGA genomic/proteomic/epigenomic and clinical data. |
| Year founded: | 2015 |
| Last update: | 2022-11-08 |
| Version: | v2.2.1 |
| Accessibility: |
Accessible
|
| Country/Region: | United States |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | University of Texas MD Anderson Cancer Center |
| Address: | Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas. |
| City: | Houston |
| Province/State: | Texas |
| Country/Region: | United States |
| Contact name (PI/Team): | Han Liang |
| Contact email (PI/Helpdesk): | hliang1@mdanderson.org |
|
TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer. [PMID: 26208906]
Long noncoding RNAs (lncRNA) have emerged as essential players in cancer biology. Using recent large-scale RNA-seq datasets, especially those from The Cancer Genome Atlas (TCGA), we have developed "The Atlas of Noncoding RNAs in Cancer" (TANRIC; http://bioinformatics.mdanderson.org/main/TANRIC:Overview), a user-friendly, open-access web resource for interactive exploration of lncRNAs in cancer. It characterizes the expression profiles of lncRNAs in large patient cohorts of 20 cancer types, including TCGA and independent datasets (>8,000 samples overall). TANRIC enables researchers to rapidly and intuitively analyze lncRNAs of interest (annotated lncRNAs or any user-defined ones) in the context of clinical and other molecular data, both within and across tumor types. Using TANRIC, we have identified a large number of lncRNAs with potential biomedical significance, many of which show strong correlations with established therapeutic targets and biomarkers across tumor types or with drug sensitivity across cell lines. TANRIC represents a valuable tool for investigating the function and clinical relevance of lncRNAs in cancer, greatly facilitating lncRNA-related biologic discoveries and clinical applications. |