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Computational Biology & Bioinformatics Research
Computational Biology & Bioinformatics research focuses on three dynamics:
Integrative Life Sciences (iLife)
Technological advances require the integration of next generation methods, approaches, and paradigms. We focus on algorithm development, data fusion, networks, simulations and data visualization.
Clinical-Medical Bioinformatics (CLiMB)
Translational science leads the way to high impact exploratory applications. We enable the move from computational modeling to multiple annotations for proposing new diagnostic, therapeutic and preventive approaches.
in silico Cancer Genomics (inCaGe).
With complex diseases like cancer, multiple synergistic sources of information call for tool development to operate at the systems level. We tackle cancer and its microenvironment, and deal with biomarker discovery and target identification studies.
Expertise Areas
Research News
Smart Cities, Big Data and Communities: Reasoning from the Viewpoint of Attractors
In what sense is a city smart? There are established entities defining this rich area of cross-disciplinary studies, and they refer to social, technical, economic, and political factors that keep evolving . . .
FIU-UM Computational Biology Research Day, Wednesday 10/9/2013
FIU and UM bring you Computational Biology Research Day
BAOSearch Web-Based Application
BAOSearch is a web-based application for querying, viewing, browsing, and downloading small molecule biological screening results including high-throughput (HTS) data.