The vast amount of publicly available biological data can provide researchers with unique insights into complex diseases. refine.bio 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.
refine.bio is designed to simplify things
Since it was launched in 2018, users from across the globe have downloaded over 4000 datasets, saving them precious time and accelerating the pace of their research.
1.3 M Samples across 300 organisms
Open Source and Free
Better Medicine Through Machine Learning
refine.bio Compendia are designed to enable researchers to leverage machine learning techniques to extract more information about the biology. The data in refine.bio 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.
refine.bio 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 refine.bio data.