Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

In the-omics era, bioinformatics technologies allowed the development of several
approaches useful to analyze biological systems. To provide a deep insight into a biological …

Motivation: Given protein–protein interaction (PPI) networks of a pair of species, a pairwise
global alignment corresponds to a one-to-one map** between their proteins. Based on …

In this paper we introduce an efficient algorithm for alignment of multiple large-scale
biological networks. In this scheme, we first compute a probabilistic similarity measure …

Biological network alignment aims to find regions of topological and functional (dis)
similarities between molecular networks of different species. Then, network alignment can …

High-Throughput technologies are producing an increasing volume of data that needs large
amounts of data storage, effective data models and efficient, possibly parallel analysis …

Motivation: Global many-to-many alignment of biological networks has been a central
problem in comparative biological network studies. Given a set of biological interaction …

The metabolic network is both a network of chemical reactions and a network of enzymes
that catalyze reactions. Toward better understanding of this duality in the evolution of the …

Background: Glioma is the most common primary tumor of the central nervous system with a
high lethality rate. This study aims to mine fibroblast-related genes with prognostic value and …

This paper presents a hybrid iterated local search (ILS) algorithm for the maximum weight
independent set (MWIS) problem, a generalization of the classical maximum independent …