The Carolina
Environmental Bioinformatics Center
Overview
The Carolina
Environmental Bioinformatics Center has broad-ranging capability
to enhance and advance the field of Computational Toxicology. The Center develops novel
analytic and computational methods, creates efficient user-friendly
tools to disseminate the methods to the wider community, and applies
the computational methods to data from molecular toxicology and
other studies.
The effort is
divided into three Research Projects and an Administrative
Unit.Each Research
Project is further divided into Functional Areas consisting of
Analysis, Methods Development, and Tools Development.Project 1
(Biostatistics in Computational Biology) provides biostatistical
support to the Center, performs data analysis at the US EPA and
develops new methods in collaboration with EPA personnel and the
computational toxicology community.Project 2
(Chem-informatics) coordinates the compilation and mining of data
from relevant external databases and performs analysis and methods
development for investigating Quantitative Structure-Activity
Relationships with burgeoning high-throughput chem-informatics
data.In addition,
Project 2 develops computational tools to perform these tasks.Project 3
(Computational Infrastructure for Systems Toxicology) works to
create a framework for merging data from various –omic technologies
in a systems biology approach.The investigation of rodent liver toxicity is used as a
driving biological problem, inspiring new methods and architectures
for data storage.Finally, Project 3 provides programming support for the
further development of tools arising from Projects 1 and 2.The Administration Core
provides staff and support to the Center, is responsible for
ensuring that Center objectives and goals are being met, and
provides oversight for each for the Functional Areas. Public
Outreach and Translation Activity (POTA) ensures that the
activities of the Center are translated into useable information and
materials for the public and policy makers.
The Center is
advancing the field of computational toxicology through the
development of new methods and tools, as well as through direct
collaborative efforts with EPA and other environmental
scientists.In each
Project, new methods are being developed and published that
represent the state-of-the-art.The tools developed within
each project are disseminated, and will be useful both to trained
bioinformatics scientists and bench scientists.The synthesis of data from a
variety of sources will move the field of computational toxicology
from a hypothesis-driven science toward a predictive
science.