This article is part of the supplement: Bioinformatics Methods for Biomedical Complex System Applications .

Introduction

Trends in modeling Biomedical Complex Systems

Luciano Milanesi¹ , Paolo Romano² , Gastone Castellani³ , Daniel Remondini³ and Pietro Liò⁴

¹  Institute of Biomedical Technology, National Research Council, Milan, Italy

²  Bioinformatics, National Cancer Research Institute, Genoa, Italy

³  Physics Department of Bologna University, Galvani Center for Biocomplexity and INFN Italy

⁴  Computer Laboratory, University of Cambridge, Cambridge, UK

author email corresponding author email

from Bioinformatics Methods for Biomedical Complex Systems Applications (NETTAB2008)
Varenna, Italy. 19–21 May 2008

BMC Bioinformatics 2009, 10(Suppl 12):I1doi:10.1186/1471-2105-10-S12-I1

Published:	15 October 2009

Abstract

In this paper we provide an introduction to the techniques for multi-scale complex biological systems, from the single bio-molecule to the cell, combining theoretical modeling, experiments, informatics tools and technologies suitable for biological and biomedical research, which are becoming increasingly multidisciplinary, multidimensional and information-driven. The most important concepts on mathematical modeling methodologies and statistical inference, bioinformatics and standards tools to investigate complex biomedical systems are discussed and the prominent literature useful to both the practitioner and the theoretician are presented.