Remote, web-based analysis

Jeremy Freeman and his lab are developing tools for analyzing data using a workflow that is fundamentally more scalable not only in terms of computing power and data set size, but also in collaboration and sharing. The one-person, one-machine approach to data analysis can be highly efficient, but collaboration and scaling up computational power can be needlessly time consuming and complicated. Doing everything through a web browser and using scalable cluster computing provides much more headroom. Thunder and Lightning provide open source tools for getting started with this approach.