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.
FIU and UM bring you Computational Biology Research Day
BAOSearch is a web-based application for querying, viewing, browsing, and downloading small molecule biological screening results including high-throughput (HTS) data.
Cancer is a multifactorial disease with a striking heterogeneity due to genetic, epigenetic and transcriptional changes involving a myriad of genes and proteins.