TANRIC
Overview | |
Description | An open-access resource for interactive exploration of lncRNAs in cancer. |
Development Information | |
URL | https://www.tanric.org |
Language | JavaScript (with Python and R back-end data processing) |
Current version | 2.2.1 |
Status | Active |
Last updated | 2022-11-08 |
News | 442 citations (as reported by Google Scholar 2022-11). |
References | |
Citation | Li J, Han L, Roebuck P, Diao L, Liu L, Yuan Y, Weinstein JN, Liang H. (2015). TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer. Cancer Research, 75(18), 3728-3737. http://dx.doi.org/10.1158/0008-5472.can-15-0273 |
Help and Support | |
Contact | Han Liang |
Long non-coding RNAs (lncRNAs) 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 a user-friendly, open-access webapp 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 data sets (>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 biological discoveries and clinical applications.
We recommend use of recent versions of HTML5-compliant browsers such as Safari, Chrome and Firefox; depending on the version, IE might not be suitable. Javascript must be enabled by the browser.
What is TANRIC?
TANRIC is an open-access 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, CCLE and other independent datasets.
How do we quantify long noncoding-RNA expression?
Based on the BAM files, we use RPKM to quantify the expression levels of lncRNAs. Please refer to the pipeline shown in the quick tutorial.
What datasets are currently included in TANRIC?
Any restrictions on use of data obtained from TANRIC?
All data available on TANRIC website is free to use for educational and research purposes. For other purposes, please contact Dr. Han Liang.
What modules are in TANRIC?
How can I quickly learn about using TANRIC?
View TANRIC’s quick tutorial, which includes videos on how to use each module.
Login is not required for academic use. For industry or commercial users, please contact Dr. Jun Li to discuss the license issue.
For questions or support related to the use of TANRIC web app, please contact Dr. Jun Li . For other inquiries, contact Dr. Han Liang .
Before using TCGA data, please read TCGA guidelines for publication and moratoriums .
This web app is for educational and research purposes only.