The complexity and variability of aging itself, along with the fragmented nature of researchers’ current understanding of aging, call for tools that can help scientists dig through mounds of data to find often subtle connections.
From hardened software to scientific productivity, the NCBCs have changed the landscape for biomedical computing. What will happen when their funding expires?
Collaborations are a fact of life for interdisciplinary fields like biomedical computing, and social scientists can help researchers understand how to make them more productive
Pursuing the frontiers of systems biology in an interdisciplinary, non-academic enviroment
Many systems models are strikingly vulnerable to even small changes in the variables
Can the complexities of biology be boiled down to Amazon.com-style recommendations? The examples here suggest possible pathways to an intelligent healthcare system with big data at its core.
How increased coverage of the structure space is transforming the field of biology
Transparent peer review, replication studies, and journals of negative results all suggest change is on the horizon