Data Product Library
Below are some of our public data products. Each data product comes with a set of analysis apps specific to that data domain. See the analysis app library for more examples of reusable analysis apps.
Life Sciences
TCGA Pan-Cancer Atlas and the Immune Landscape of Cancer
This data product is a combination of data from two sources: TCGA Pan-Cancer Atlas and the Immune Landscape of Cancer. It has 10,967 samples from 35 cancer types.
Single Cell RNA-Seq
This data product contains ~6000 cells from 18 patients with head and neck cancer (HNSC). The dataset was published by Puram et al. in Cell in 2017.
Pfizer’s Trial Phase III - JAVELIN 101
This data product contains data on avelumab with axitinib versus sunitinib in advanced renal cell cancer.
ClinicalTrials.gov Explorer
This data product contains data from ClinicalTrials.gov to assist in discovering clinical trials.
Want to see more data products? Get in touch!
We have hundreds of data products at your disposal. Let us know what types of questions you have, what areas you want to focus on and we will give you a personalized demo!
See Tag.bio in Action
Healthcare
Patient Encounters
This data product contains data on patient encounters and costs for 80,000 patients at 8 hospitals compared to standard Medicare costing.
COVID-19 Synthetic Data
This data product contains synthetic patient data mimicking a population tested for COVID-19.
Want to see more data products? Get in touch!
We have hundreds of data products at your disposal. Let us know what types of questions you have, what areas you want to focus on and we will give you a personalized demo!
See Tag.bio in Action
Support
Gene Annotation
This data product deploys gene annotation information from NCBI. It is used to provide gene annotations in other data products.
Tag.bio Analysis History
This data product contains a history of all analysis activities from all users for all data products.
More On The Tag.bio Platform
Want to see Tag.bio’s data products in action? Have questions about the reusability of analysis apps? Curious about how this will fit with your data analysis workflow? Get in touch and we will give you a personalized demo!
