About

Overview

What is computational and integrative biology? At a general level, computational biology is the study of biological systems using tools from traditional biomedical disciplines such as biology, chemistry and physics integrated with methods for analysis of interacting complex systems frommathematics and computer science. In particular, computational analysis is a prominent aspect of integrative biology, which analyzes a large number of interacting biological variables to obtain a fuller overall understanding of complex biological systems. The goal of integrative biology is to extract broad quantitative organizational principles that can relate interactions of component parts to macroscopic behaviors of the complex system. Examples of areas of investigation particularly amenable to an integrative approach include ecological and physiological systems. The Rutgers’ Center for Computational and Integrative Biology (CCIB) emphasizes the development of mathematical models for these biological systems, application of the models to data from laboratory and field investigations, the adjustment of the model based on its fit to and predictive value for experimental results and the subsequent modification of the experimental design based on the predictions of the model.

Research Directions

The CCIB is comprise of over 40 nationally and internationally recognized scholars and researchers, many of whom have received prestigious awards and honors. The CCIB regularly receives research funding from the National Science Foundation (NSF) and the National Institutes of Health (NIH). Some of the CCIB’s current research directions include:

  • Biological Rhythms (circadian and ultradian)
  • Biofuels and sustainable energy
  • Predictive toxicology and pharmacology
  • Metagenomics
  • Movement of large groups and complex systems

The CCIB is always interested in exploring new research directions and is happy to lend its computational expertise to external collaborators. Please contact us if you are interested in discussing current or potential projects.

Funding

NSF Grant Awards

RUI: Mechanisms of Modulation of GABA(A) receptors by Steroids and Lipophilic Hormones #1330728
Grace Brannigan (PI), Joseph V. Martin (co-PI)

CAREER: Dynamics and Diversity of Bone Morphogenetic Protein Signaling in Epithelial Cells #1149144
Nir Yakoby (PI)

MRI: Acquisition of a High-Performance Computing Cluster for the Interdisciplinary Research in Computational and Integrative Biology #1126052
Andrey Grigoriev (PI), Kwangwon Lee, Joe Martin, Michael Palis (Co-Principal Investigators)

Q-STEP: Community of Quantitative Scientists #0856435
Joe Martin (PI), Alex Roche; Daniel Bubb; Haydee Herrera (Co-Principal Investigators)

RUI: Evolution of clitellate cocoons: regulation, secretion and ultrastructure #0843419
Dan Shain (PI)

RUI: Energy Anabolism in Glacier Ice Worms: Evolution, Mechanisms and Contribution to Cold Adaptation #0820505
Dan Shain (PI)

RUI: Thyroid Hormone Physiology in Adult Rat Brain #0724962
Joe Martin (PI); Alex Roche (co-Principal Investigator)

NIH Grant Awards

AREA: MECHANISMS UNDERLYING EGFR SIGNALING DISTRIBUTION IN EPITHELIAL TISSUES 1R15GM101597-01A1
Nir Yakoby (PI); Benedetto Piccoli (Co-PI)

ENERGY-BASED COLD TOLERANCE IN GENETICALLY TRACTABLE EUKARYOTIC SYSTEMS 115GM093685-01R
Dan Shain (PI); Nir Yakoby (co-Principal Investigator)