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## Meet the editor

Handling, managing and analyzing big biomedical data from a repertoire of different biological and physical disciplines are huge challenges in modern science. A few years ago, techniques were being developed in an effort to generate high-quality artificial datasets because information was scarce. Statistical viability was almost impossible with only a dozen genes and a few proteins available to analyze. However, after the human genome

project was completed, data accumulation sky-rocketed. A couple of decades later, data storage became more expensive than data analysis. Systems biology is a modern field of science, attempting the impossible: modeling complex biological systems in a holistic way, by using only the important bits of information and removing the noisy parts. The chapters of this book provide insights into a range of modern applications and breakthroughs in the field of systems biology. All chapters have been carefully selected, adjusted, and fine-tuned in a seamless way that helps them achieve synergy and makes it easier for both the novice and the expert reader to follow. A lot of effort has gone into providing the scientific basis of complex biological systems, since combining and fusing information from different -omics domains are not trivial. Different experiments under different conditions cannot be easily fused without the risk of increasing the noise in the fused dataset. In this book, a set of quite diverse chapters has been carefully put together to give the reader a broad overview of today's systems biology domain.

 I would like to close this preface with the words of J.R.R. Tolkien, who stated: "All that is gold does not glitter, Not all those who wander are lost." More than 98% of our genome is uncharted and things are even worse in other -omics domains. The era of the dark genome is upon us. Systems biology is attempting to fuse huge datasets from only a tiny portion of the full complex biomedical spectrum in a meaningful and reproducible way, so that science can evolve, and new and validated knowledge can be attained.

Contents

**Section 1**

**Section 2**

**Section 3**

Manufacture *by Juan C. Ramirez*

**Section 4**

Genetics and Bioinformatics

*by Marco Fernandes and Holger Husi*

*by Ruixue Wang and Shuhong Luo*

*and Dimitrios Vlachakis*

**Preface III**

Introduction **1**

**Chapter 1 3**

Integrative Systems Biology **9**

**Chapter 2 11**

Viral Systems Biology **31**

**Chapter 3 33**

**Chapter 4 45**

Applications of Systems Biology **63**

**Chapter 5 65**

Integrative Systems Biology Resources and Approaches in Disease Analytics

Lentiviral Vectors Come of Age? Hurdles and Challenges in Scaling Up

Application of Genomic Data for PCR Screening of Bet v 1 Conserved

Orf Virus: A New Class of Immunotherapy Drugs

Sequence in Clinically Relevant Plant Species *by Jana Žiarovská and Lucia Zeleňáková*

Introductory Chapter: Systems Biology Consolidating State of the Art

*by Eleni Papakonstantinou, Katerina Pierouli, Elias Eliopoulos* 

## Contents


**Chapter 6 83**  Insight into the Mechanism of Red Alga Reproduction. What Else Is Beyond Cystocarps Development? *by Pilar Garcia-Jimenez and Rafael R. Robaina* 
