Computational Biology


Holger Husi, Dr sc nat (ed)
Institute of Cardiovascular and Medical Sciences BHF Glasgow Cardiovascular Research Centre University of Glasgow Inverness, UK; Division of Biomedical Sciences Centre for Health Science University of Highlands and Islands UK


Our understanding of biology has undergone a revolution in the past 20 years, driven by our ability to capture, store, interrogate and analyze the ever-increasing volumes of ‘omics’ data. Computational Biology, an integrated approach employing high performance computers, state-of-the art software and algorithms, mathematical modeling and statistical analyses have enabled us to unravel the seemingly impenetrable complexity of biological systems. This book draws together many of the latest cutting-edge developments in the field of Computational Biology. Each chapter draws on the expertise of leading researchers in the field to highlight the utility of specific technologies. The breadth of the text is impressive - from integrative biology in human diseases through the various branches of epigenomics, metabolomics and proteomics to biological sequencing and deep learning. Computational biology approaches for image-based analysis of multicellular spheroids, feature selection using entropy and cellular cryo-electron tomography structural pattern mining are covered. In addition, the key role of statistics in the analysis of high-dimensional multiset omics data and RNA sequencing are discussed in dedicated chapters. This book would have broad appeal to anyone with an interest in cutting edge computational biology.


  • Front Matter
    Pages i-vi
  • Foreword
    Ian Megson…..Page vii
  • Preface
    Holger Husi…..Pages ix-xi
  • Contributors
    Pages xiii-xvii
  • Chapter 1: An Introduction to Image-Based Systems Biology of Multicellular Spheroids for Experimentalists and Theoreticians
    Sabine C. Fischer…..Pages 1-18
  • Chapter 2: Integrative Biology Approaches Applied to Human Diseases
    Alysson H. Urbanski, José D. Araujo, Rachel Creighton, Helder I. Nakaya…..Pages 19-36
  • Chapter 3: Deep Learning in Omics Data Analysis and Precision Medicine
    Jordi Martorell-Marugán, Siham Tabik, Yassir Benhammou, Coral del Val, Igor Zwir, Francisco Herrera, Pedro Carmona-Sáez…..Pages 37-53
  • Chapter 4: Biological Sequence Analysis
    Usman Saeed, Zainab Usman…..Pages 55-69
  • Chapter 5: Multivariate Statistical Methods for High-Dimensional Multiset Omics Data Analysis
    Attila Csala, Aeilko H. Zwinderman…..Pages 71-83
  • Chapter 6: Statistical Methods for RNA Sequencing Data Analysis
    Dongmei Li…..Pages 85-99
  • Chapter 7: Computational Epigenomics: From Fundamental Research to Disease Prediction and Risk Assessment
    Mohamed-Amin Choukrallah, Florian Martin, Nicolas Sierro, Julia Hoeng, Nikolai V. Ivanov, Manuel C. Peitsch…..Pages 101-118
  • Chapter 8: Computational Approaches in Proteomics
    Karla Cervantes Gracia, Holger Husi…..Pages 119-142
  • Chapter 9: Cheminformatics and Computational Approaches in Metabolomics
    Marco Fernandes, Bela Sanches, Holger Husi…..Pages 143-159
  • Chapter 10: Feature Selection in Microarray Data Using Entropy Information
    Ali Reza Soltanian, Niloofar Rabiei, Fatemeh Bahreini…..Pages 161-174
  • Chapter 11: Template-Based and Template-Free Approaches in Cellular Cryo-Electron Tomography Structural Pattern Mining
    Xindi Wu, Xiangrui Zeng, Zhenxi Zhu, Xin Gao, Min Xu…..Pages 175-186
  • Index
    Pages 187-194
  • About the Editor

Author Biography

Holger Husi, Dr sc nat, Institute of Cardiovascular and Medical Sciences BHF Glasgow Cardiovascular Research Centre University of Glasgow Inverness, UK; Division of Biomedical Sciences Centre for Health Science University of Highlands and Islands UK


HolgerHusi_150.jpgHolger Husi is a senior research fellow in Bioinformatics and Biostatistics at the University of the Highlands and Islands and the University of Glasgow. Originally from Switzerland, where he completed his doctoral training at Novartis, Basel, and the Swiss Federal Institute of Technology (ETH), Zurich, in immunology and the mode of action of immunosuppressants, he specialized in large-scale biosystems investigations and analysis, with an emphasis on human disease analytics. After his first postdoctoral training at Columbia University, NY, USA, he briefly worked for a pharmaceutical company in Austria, and then worked for more than 10 years at the University of Edinburgh. This was followed by a move to the University of Glasgow, where he still holds a position, and the University of the Highlands and Islands in Inverness as principal investigator (PI) in Bioinformatics, Biostatistics and Systems Biology. Over the last three decades, he has extensively published in the area, from method development and data acquisition, databases, and big data handling, through to integrative Systems Biology approaches in order to understand complex biological systems. His investigations covered areas in neuroscience, renal complications, cardiovascular disorders, pulmonary and autoimmune diseases, as well as muscle wasting and cancer. He is the lead of the Pan-omics Database Initiative.

Cover for Computational Biology
October 31, 2019

Details about the available publication format: Front Matter

Front Matter
ISBN-13 (15)