Systems Biology (e-bog) af -
Katze, Michael G. (redaktør)

Systems Biology e-bog

1240,73 DKK
First, systems biology is an inter-disciplinary approach, requiring the combined talents of biologists, mathematicians, and computer scientists. Second, systems biology is holistic, with the goal of obtaining a comprehensive understanding of the workings of biological systems. This is achieved through the acquisition of massive amounts of data by high-throughput technologies-oligonucleotide micro…
First, systems biology is an inter-disciplinary approach, requiring the combined talents of biologists, mathematicians, and computer scientists. Second, systems biology is holistic, with the goal of obtaining a comprehensive understanding of the workings of biological systems. This is achieved through the acquisition of massive amounts of data by high-throughput technologies-oligonucleotide microarrays, mass spectrometry, and next-generation sequencing-and the analysis of this data through sophisticated mathematical algorithms. It is perhaps the use of mathematics, to integrate abundant and diverse types of data and to generate models of interconnected molecular networks, that best characterizes systems biology.
E-bog 1240,73 DKK
Forfattere Katze, Michael G. (redaktør)
Forlag Springer
Udgivet 04.01.2013
Genrer Medical research
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783642330995

First, systems biology is an inter-disciplinary approach, requiring the combined talents of biologists, mathematicians, and computer scientists. Second, systems biology is holistic, with the goal of obtaining a comprehensive understanding of the workings of biological systems. This is achieved through the acquisition of massive amounts of data by high-throughput technologies-oligonucleotide microarrays, mass spectrometry, and next-generation sequencing-and the analysis of this data through sophisticated mathematical algorithms. It is perhaps the use of mathematics, to integrate abundant and diverse types of data and to generate models of interconnected molecular networks, that best characterizes systems biology.