  Biomedical research centers can empower basic discovery and novel therapeutic
strategies by leveraging their large-scale datasets from experiments and
patients. This data, together with new technologies to create and analyze it,
has ushered in an era of data-driven discovery which requires moving beyond the
traditional individual, single-discipline investigator research model. This
interdisciplinary niche is where computational biology thrives. It has matured
over the past three decades and made major contributions to scientific
knowledge and human health, yet researchers in the field often languish in
career advancement, publication, and grant review. We propose solutions for
individual scientists, institutions, journal publishers, funding agencies, and
educators.
