2016 Synthetic Biology: Engineering, Evolution & Design (SEED)
Arrowland: A Browser-Based Environment for Omics Mapping and Simulation
Authors
Birkel, G. - Presenter, Lawrence Berkeley National Laboratory
Garcia-Martin, H., Lawrence Berkeley National Laboratory
Morrell, W., Sandia National Laboratory
Hillson, N. J., DOE Joint BioEnergy Institute
Today, the biological sciences are at the center of a rapidly expanding universe, of new kinds of data. We've only just begun to curate, explore, and interpret it. While pursuing this at JBEI we’ve developed a software tool called Arrowland: a combined omics visualization, showing metabolomics, fluxomics, proteomics, and transcriptomics together on multi-scale, customizable maps, with a unique method of navigation. The fundamental design goal of Arrowland is to make it easy to get omics data in, and easy to explore.
Arrowland runs in a web browser, as well as on tablets and phones. It’s fully searchable, and integrated with a modeling library called the Quantitative Metabolic Modeling library, and a data curation tool called the Experiment Data Depot. All are open-source and free for academic use. JBEI is seeking collaborators, testers, and co-developers to help us improve Arrowland.