to the new software package. This year opens a new chapter in our
story in that we begin to explore biology as an information
system. We can do this because the biology literature in
combination with mathematics and technology allowed us to assemble
and test a robust model for quantitative biology. Such a model is
of upmost importance because it gives us access to the mathematical
core of biology. The core tells us what biology does – when, where,
information science enjoys the remarkable property of being able to
deal with complexity at all levels, perhaps being limited only by
our imagination, resources, and access to high quality research
data. Complexity is largely a numbers game, one that is played by
creating a myriad of interconnected patterns that allow new forms of
information to appear and flow. Biology routinely generates
vast amounts of new information by creating new phenotypes - a
process that we can now access and duplicate with connection phenotypes.
biology is an information science. Run an Internet search on
<systems biology> and one finds an excellent collection of ideas. Indeed, it offers so many promising
directions that one is left with the view that it remains a
discipline still in search of a mission statement. This is
perfectly understandable for any new discipline and no doubt it will
be defined in time largely by the success of its applications. As an
information science, systems biology is of great interest to the
Enterprise Biology Software Project because it offers a real
world test of our quantitative approach to biology.
things simple, only three goals will be considered this year. The first will
be to assemble a model for systems biology as close to reality as
possible, the second to use this model to quantify diseases, and the
third to explore new opportunities for creating an individualized
software package offers:
progress report containing an introduction to systems biology –
including theory and practice.
introduction to connection phenotypes as a new complexity tool.
set of software tools designed specifically to capture a broad
spectrum of biological changes.
Updates of programs and databases.