Benchling Integration Snapshots
Life science R&D is producing data of a greater quantity and complexity than ever before. At the same time, there’s been a corresponding increase in the number of data sources and repositories that scientists work with on a daily basis. With robotics, analytical instruments, databases, and software all generating or interacting with data, it becomes a challenge for scientists to tie data together into meaningful conclusions.
This data sheet provides:
Common challenges associated with unifying applications, data sources, and repositories
How Benchling solves for various integration scenarios
Examples of systems that Benchling has integrated with