CD19+ blood-borne cancers. This success has encouraged both well-established and start-up entrants to vigorously pursue new and challenging research projects, for example treating solid tumors and creating allogenic cell therapies. Research at these new frontiers is an extraordinarily data-intensive activity, yet often the underlying support processes continue to rely on a fragmented information infrastructure. For lean teams, working with paper notebooks and a small pool of shared files can be satisfactory. Keeping track of project progress and data often starts with spreadsheets, which are quick and easy to create and share, and personal recollection of resource and file locations can work well at this scale. But spreadsheet software was not purpose-built for R&D bioinformatics, and projects soon run up against multiple drawbacks: no searchability across the organization, difficulties with document version control, problems with external linked data, and more.

The Signals Research Suite consists of Signals Notebook, Signals Data Processing and Signals Data-Driven Analytics, built to resolve searchability, management, and integration challenges. Searchability is a key feature of the Signals Research Suite, combined with standardized analysis, sequence intelligence, and secure collaboration. The solution provides fully integrated tools that eliminate manual administration work, enable team collaboration, and provide key workflow and data management capabilities.