"Systems Biology" ed. by Dimitrios Vlachakis

The aim of the book is to integrate in a seamless way all existing knowledge in interconnected disciplines, stretching from modern biomedical research to physics, chemistry, and mathematics.

Systems biology is the inevitable outcome of long years of knowledge acquisition and data accumulation.
The main integration tool of such complex biomedical systems is via computational and mathematical modeling. In this direction, a series of state-of-the-art computer science techniques are used, namely, data mining and fusion, machine learning, and deep learning all under the prism of big data. All in all, systems biology is at the arrowhead of modern and state-of-the-art biomedical research by attempting to address key biological questions describing holistically complex biological systems.


Contents
1.Introductory Chapter: Systems Biology Consolidating State of the Art Genetics and Bioinformatics
2.Integrative Systems Biology Resources and Approaches in Disease Analytics
3.Lentiviral Vectors Come of Age? Hurdles and Challenges in Scaling Up Manufacture
4.Orf Virus: A New Class of Immunotherapy Drugs
5.Application of Genomic Data for PCR Screening of Bet v 1 Conserved Sequence in Clinically Relevant Plant Species
6.Insight into the Mechanism of Red Alga Reproduction. What Else Is Beyond Cystocarps Development?