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Modeling, simulation, high-end computing and data analysis, for information-based knowledge discovery.
Combining engineering methods with molecular biology, leading to synthesis of new functional materials, molecular machines, and therapeutics.
A multidisciplinary and holistic view of the living systems that moves beyond molecular link scales to understand biological complexity at multiple levels.
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Systems Biology

A multidisciplinary and holistic view of living systems that moves beyond molecular link scales to understand biological complexity at multiple levels.

Among its overarching goals, Systems Biology attempts to understand how complex biological systems arose, how they operate individually, and how they collectively define networks, societies, and communities. It focuses on the integrated study of living systems across multiple scales, from molecular to cellular, organ, individual and population.

Driven largely by advancements in robotics and informatics that allow the simultaneous measurements of hundreds of thousands of individual experimental observations, a systems approach can easily quadruple the knowledge gleaned over decades of study by hundreds of individual laboratories.

Developments in algorithms, database theory, statistics, numerical methods, and systems design will focus quite naturally on problems that emerge in predictive health and neuroscience. They will bring modeling and predictive power to studying disease ecology, and to important initiatives in public health and disease prevention. They will increase our capabilities in the new "-omic" sciences including:

  • Genomics. Wikipedia: Genomics is the study of an organism's entire genome. Investigation of single genes, their functions and roles is something very common in today's medical and biological research, and can not be said to be genomics but rather the most typical feature of molecular biology.
  • Transcriptomics. Wikipedia: The transcriptome is the set of all messenger RNA (mRNA) molecules, or "transcripts", produced in one or a population of cells. The study of transcriptomics examines the expression level of mRNAs in a given cell population, often using high-throughput techniques based on DNA microarray technology.
  • Proteomics. Wikipedia: Proteomics is the large-scale study of protein, particularly their structures and functions.
  • Metabolomics. Wikipedia: Metabolomics is the study of the unique chemical fingerprints that specific cellular processes leave behind.
  • Glycomics. Wikipedia: is a discipline of biology that deals with the structure and function of chains of sugars (oligosaccharides).
  • Physiogenomics