Making vast amounts of data immediately usable and openly available to researchers across the globe.


The vast amount of publicly available biological data can provide researchers with unique insights into complex diseases. helps put this wealth of information to use broadly by harmonizing data across many different technologies into one universal repository. This multi-organism collection of gene expression data allows researchers to search for experiments from different publicly available sources and build custom data sets that suit their research needs. The data is uniformly processed with standardized pipelines that have been selected based on their wide-ranging utility.

Researchers can avoid the painstaking work of reprocessing by downloading from this extensive collection of ready-to-use transcriptomic data.

Screenshot of website is designed to simplify things

Since it was launched in 2018, users from across the globe have downloaded over 8000 datasets, saving them precious time and accelerating the pace of their research.

1.3 M Samples across 300 organisms

This online repository has over 1.3 million existing samples. Researchers can discover relevant experiments across 300 different organisms and download custom datasets catered to their project.

Flexible access

Researchers can download datasets via their browser as well as programmatically via our python client.

Open Source and Free

Researchers across the world can access for free at any time. is an open source effort, and we welcome contributors in all areas from software engineering to bioinformatics.

Better Medicine Through Machine Learning Compendia are designed to enable researchers to leverage machine learning techniques to extract more information about the biology. The data in will support researchers’ efforts to better classify patients and identify what types of treatments might be most effective on a case-by-case basis, further enhancing the burgeoning field of precision medicine.

Getting Started examples gives researchers access to a variety of example analyses implemented in R, such as clustering and heat maps, differential expression analysis, and pathway analysis, for use with data.

Follow along in R Notebooks

The examples are designed so that users can download the R notebooks and follow along, performing each analysis on their own computers or on the web.

BYO Dataset

The analysis notebooks can be used with the datasets we provide, or easily modified to use a different dataset more relevant to the user, and further modified for more customized analysis.

Get the most out of datasets

This enhances usability and shortens the learning curve to help researchers get the most out of their datasets.

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