COBRA’s experience
Engaged for 28 years at the interface of computational applications with life science research, both basic and applied
COBRA’s skill set
-- Computer-based models for analysis of biological
systems and human diseases and disorders
-- Modeling and analysis of dynamic, nonlinearly
interacting biological networks (assessed by
gene chips and experimental studies of
endocrine system function and interactions)
-- Physiologically-based mathematical modeling and
analysis of rhythmic, episodic, and irregular
temporal patterns of biological activities
-- Predictive, systems-level dynamical network
models to describe functional properties of
neuroendocrine regulatory interactions and
inter- and intracellular mechanisms of temporal
organization of biological processes
-- Development and implementation of automated,
intelligent algorithms for analysis, interpretation,
and screening of time series
-- Analysis and modeling of the biothermodynamics
of protein, lipid, and nucleic acid systems
-- Principles of nonlinear least squares parameter
estimation
-- Robust confidence interval estimation,
propagation of uncertainty, analysis of residuals,
and quantitative statistical interpretations of
confidence
-- Analytical and statistical considerations for
effective and optimal experimental protocol
design and interpretation