Mathematical Models in Biology

Bringing Mathematics to Life

  • Valeria Zazzu
  • Maria Brigida Ferraro
  • Mario R. Guarracino

Table of contents

  1. Front Matter
    Pages i-xii
  2. Laura Casalino, Pasqua D’Ambra, Mario R. Guarracino, Antonio Irpino, Lucia Maddalena, Francesco Maiorano et al.
    Pages 17-31
  3. Massimo De Gregorio, Maurizio Giordano
    Pages 33-44
  4. Sara Mancinelli, Valeria Zazzu, Andrea Turcato, Giuseppina Lacerra, Filomena Anna Digilio, Anna Mascia et al.
    Pages 45-63
  5. Antonella Lanati, Cecilia Poli, Massimo Imberti, Andrea Menegon, Fabio Grohovaz
    Pages 65-84
  6. Brian Caffrey, Annalisa Marsico
    Pages 85-98
  7. Evgeniya Anishchenko, Salvatore D’Aniello
    Pages 99-108
  8. Marcella Vacca, Floriana Della Ragione, Kumar Parijat Tripathi, Francesco Scalabrì, Maurizio D’Esposito
    Pages 109-117
  9. Massimo La Rosa, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso
    Pages 119-132
  10. Stefano Lodi, Fabrizio Angiulli, Stefano Basta, Donata Luiselli, Luca Pagani, Claudio Sartori
    Pages 133-144
  11. Dante Travisany, Diego Galarce, Alejandro Maass, Rodrigo Assar
    Pages 145-160
  12. Claudia Caudai, Emanuele Salerno, Monica Zoppè, Anna Tonazzini
    Pages 161-171
  13. Eugenio Del Prete, Serena Dotolo, Anna Marabotti, Angelo Facchiano
    Pages 173-187
  14. Daniele D’Agostino, Andrea Clematis, Emanuele Danovaro, Ivan Merelli
    Pages 189-199

About this book


This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy.  The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work. Specific topics explored in depth surround the sessions and special invited sessions of the workshop and include genetic variability via differential expression, molecular dynamics and modeling, complex biological systems viewed from quantitative models, and microscopy images processing, to name several.

In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book.

Researchers and graduate students in biology, life science, and mathematics/statistics will find the content useful as it addresses existing challenges in identifying the gaps between mathematical modeling and biological research. The shared solutions will aid and promote further collaboration between life sciences and mathematics.


Genetic variability Image segmentation Modelling of Protein Surface Molecular Dynamics Parallel Heterogeneous Architectures Spectra analysis artificial neural network computation bioinformatics bringing maths to life life science metagenomic content microscopy images processing proteins analysis sequence data analysis

Editors and affiliations

  • Valeria Zazzu
    • 1
  • Maria Brigida Ferraro
    • 2
  • Mario R. Guarracino
    • 3
  1. 1.Institute of Genetics and Biophysics (IGB) "A. Buzzati-Traverso"National Research Council of Italy (CNR)NaplesItaly
  2. 2.Department of Statistical SciencesSapienza University of RomeRomeItaly
  3. 3.High Performance Computing and Networking Institute (ICAR)National Research Council of Italy (CNR)NapoliItaly

Bibliographic information

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