For biological research labs, the collection and maintenance of data is a often a daunting and difficult task. When a lab uses giant datasets or deals with large files such as genomics data, it involves both IT and the researchers to lay down an appropriate pipeline for processing and storing such information in a useful location and format. More commonly, a lab is held back due to their data infrastructure not living up to their needs. Luckily, the Azure cloud make this process simple. With Azure, you can easily spin up individual services and connect them together to pull data from either online databases (like NCBI and the Protein Data Bank) or from your on-premise machines (such as your Illumina sequencer) to a central location in the cloud.
