Learn about TIES
The Cancer Genome Atlas (TCGA) is the premier encyclopedia of molecular changes in cancer, presenting more than 11,000 cancer cases and over 22 different cancer subtypes. With more than 2.5 petabytes of high throughput sequencing data and dozens of datatypes, TCGA data can be a challenge for investigators to work with. Luckily, TIES can help you through each step.
What is TIES?
TIES stands for Text Information Extraction System. At its core, TIES is a natural language processing (NLP) pipeline and clinical document search engine. The software de-identifies, annotates, and indexes your clinical documents, making it easier for your researchers to search for and find the documents and cases that they are most interested in. However, TIES is much more than a search engine. TIES also supports tissue ordering and acquisition, building of Tissue Microarrays (TMAs), and integration with tissue banks and honest brokers. Its collaborative work spaces make it possible for research teams to work on queries and case sets together, even across institutions with separate TIES installations. TIES’s strong security model, well-developed process and policy documentation, and proven acceptance by regulatory groups at multiple academic medical centers help ease deployment in complex translational research settings.
TIES grant support has expired and access is closed at UPMC/Pitt.
Use of pathology and radiology reports for research at UPMC and Pitt is now available via R3 Services. R3 also enables combined use of other UPMC EMR data services.