Advances in systems biology: computational algorithms and applications

Advances in Computational Systems Biology

Computational Systems Biology, a rapidly evolving field, is at the interface of computer science, mathematics, physics and biology. It endeavours to study, analyze and understand complex biological systems by taking a coordinated integrated systems view using computational methodologies. From the middle of the twentieth century till present, we have been witnessing breakthrough discoveries in b...

Systemic Approaches in Bioinformatics and Computational Systems Biology : Recent Advances

Optimization Algorithms for Computational Systems Biology

Computational systems biology aims at integrating biology and computational methods to gain a better understating of biological phenomena. It often requires the assistance of global optimization to adequately tune its tools. This review presents three powerful methodologies for global optimization that fit the requirements of most of the computational systems biology applications, such as model...

Fuzzy P systems and their applications in computational biology

We present a fuzzy model of P systems where the objects involved in computations are colored by means of a finite family of fuzzy sets, and we discuss several applications of this model in computational biology.

Computational Systems Biology in Cancer: Modeling Methods and Applications

In recent years it has become clear that carcinogenesis is a complex process, both at the molecular and cellular levels. Understanding the origins, growth and spread of cancer, therefore requires an integrated or system-wide approach. Computational systems biology is an emerging sub-discipline in systems biology that utilizes the wealth of data from genomic, proteomic and metabolomic studies to...