Systems Biology

Systems biology is the study of Theoretical aspects of systems biology of biological components, which may be molecules, cells, organisms or entire species. Living systems are dynamic and complex and their behavior may be hard to predict from the properties of individual parts.

It involves the computational (involving Insilico modeling in systems biology, Biomarker identification in systems biology) and mathematical modeling of complex biological systems. An emerging engineering approach applied to biomedical and biological scientific research, systems biology is a biology-based inter-disciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological and biomedical research involving the use of In vitro regulatory models in systems biology using OMICS tools. Particularly from year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts.  

Many Funding Opportunities in this research has been bought up by Support ISBNational Science FoundationNIH and many Collaborative Funding Opportunities.

Systems biology is the study of Theoretical aspects of systems biology of biological components, which may be molecules, cells, organisms or entire species. Living systems are dynamic and complex and their behavior may be hard to predict from the properties of individual parts. It involves the computational (involving Insilico modeling in systems biology, Biomarker identification in systems biology) and mathematical modeling of complex biological systems. Systems Biology is the computational and mathematical modeling of complex biological systems. Computational Biology has become an important field where you apply concepts of various basic disciplines like applied mathematics, computer science, statistics, animation, biophysics, biochemistry, genomics, genetics, bioinformatics, anatomy, ecology, neuroscience and visualization. This includes the use of biological data to construct relationship models and algorithms among different biological systems to analyze differences and similarities. The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, ecology, evolution, anatomy, neuroscience, and visualization. Sub fields of system biology are computational biomodeling, computational genomics, computational neuroscience, computational pharmacology, computational evolutionary biology, cancer computational biology.

  • Insilico modeling in systems biology
  • Biomarker identification in systems biology
  • Cancer systems biology
  • Theoretical aspects of systems biology
  • Dynamic and Stochastic Processes in Cells
  • Biomolecular Engineering and Synthetic Biology
  • Systems Biomedicine
  • Systems Pharmacology and Therapeutics
  • Signal Processing techniques for systems biology

Related Conference of Systems Biology

October 10-11, 2016

World Congress on Molecular Biology

Dubai, UAE
October 10-12, 2016

2nd World Bio Summit & Expo

Dubai, UAE
November 07- 08, 2016

World Congress on Human Genetics

Barcelona, Spain
November 7-9, 2016

12th Euro
Biotechnology Congress

Alicante, Spain
November 28-30, 2016

13th Biotechnology Congress

San Francisco, USA
March 20-22, 2017

8th World Congress and Expo on Cell & Stem Cell Research

Orlando, Florida, USA
April 10-12, 2017

14th Asia-PacificBiotech Congress

Indonesia
July 03-05, 2017

7th International Conference on Plant Genomics

Bangkok, Thailand
August 07-09,2017

2nd Annual Conference on Bioscience

China, Beijing
December 04-06, 2017

2nd World Biotechnology Congress

Sao Paulo, Brazil

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