Biological network analyses: Computational genomics and systems approaches

Research output: Contribution to journalArticle

  • 1 Citations

Abstract

The complex responses of cells to stimuli are the aggregate of alterations at the genetic, protein, metabolic and cellular levels. The immense quantities of data now available from high-throughput genomic, proteomic and metabolomic sources require specialized analytical approaches. The integration of such data for the computational elucidation and analysis of cellular pathways and networks is an area of considerable current interest. As the quantity of available data continues to increase, strategies to extract the useful information from the data will continue to provide answers to important biological questions. Chemical engineers are actively involved in this field that has taken on the global title of "Systems Biology. These research groups have made considerable impact from both the computational and experimental standpoints. This commentary describes some of the recent contributions of chemical engineering researchers to the computational analysis of high-throughput, multi-source data as described in recent publications and presentations from the 2005 AIChE Annual Meeting.

LanguageEnglish (US)
Pages203-209
Number of pages7
JournalMolecular Simulation
Volume32
Issue number3-4
DOIs
StatePublished - Jan 1 2006

Profile

Biological Networks
Genomics
Throughput
chemical engineering
Chemical engineering
biology
stimuli
engineers
High Throughput
proteins
Proteins
Engineers
Continue
Metabolomics
cells
Computational Analysis
Proteomics
Systems Biology
Annual
Pathway

Keywords

  • Integrated networks
  • Multi-source data
  • Network inference
  • Signaling networks
  • Systems biology

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Biological network analyses : Computational genomics and systems approaches. / Walton, S. P.; Li, Z.; Chan, C.

In: Molecular Simulation, Vol. 32, No. 3-4, 01.01.2006, p. 203-209.

Research output: Contribution to journalArticle

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