Systems Biology

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Michael G. Katze
Springer Science & Business Media, 04.01.2013 - 263 Seiten
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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.

 

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Inhalt

246 Systems Approaches to Dissecting Immunity
1
247 Studying Salmonellae and Yersiniae HostPathogen Interactions Using Integrated Omics and Modeling
20
257 ChIPSeq and the Complexity of Bacterial Transcriptional Regulation
43
248 The Role and Contributions of Systems Biology to the NonHuman Primate Model of Influenza Pathogenesis and Vaccinology
69
255 Omics Investigations of HIV and SIV Pathogenesis and Innate Immunity
86
250 Systems Biology of Vaccination in the Elderly
117
251 Systems Biology Analyses to Define Host Responses to HCV Infection and Therapy
143
252 Systems Biology Approach for New Target and Biomarker Identification
169
249 Insights into Proteomic Immune Cell Signaling and Communication via DataDriven Modeling
200
260 Critical Dynamics in HostPathogen Systems
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Index
260
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