Biomedical research in the 21st century reflects a dramatic increase in the sheer amount of data available for analysis, and a commensurate need for increasingly sophisticated computational tools. In the past, researchers would download genomic datasets to their own computers, and run computational analyses locally. In the era of big data, however, it is advantageous to bring computation to the data. While the present 1.3 million L1000 profiles are not too large to download, making the data available to users on the cloud will increase computational efficiency. We have therefore created a cloud-based data storage and analysis system called CLUE. In the CLUE environment, users can access all publicly available CMap data, append their private data, and access a collection of user-friendly analysis apps designed for intuitive use by experimental biologists. Computational biologists can access data using data APIs at clue.io/api. We note that additional L1000 analytical tools developed by others are available through the LINCS data coordinating center at lincsproject.org.
