The Challenge  Decreasing costs and rapid technological
innovation have resulted in a tremendous increase in the volume
and throughput of biological data being generated at large
research institutes, individual labs and biopharma companies. At
the same time, Life Sciences research is becoming increasingly
collaborative and complex, leveraging multiple technologies to
get a systems level understanding of diseases and organisms.
This exponential increase in the scale of data being generated
combined with increased collaboration has resulted in a need to
rethink how data is stored, analyzed and shared.  Researchers,
bioinformaticians, software developers and IT departments in
Life Sciences are now leveraging Amazon Web Services (AWS) to
create scalable and highly available IT infrastructures which
store, compute and share terabytes (often petabytes) of data.
AWS Public Data Sets provide a centralized repository where this
data can be shared and seamlessly integrated into AWS cloud-
based applications. Examples i