Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

Networks are one of the most common ways to represent biological systems as complex sets
of binary interactions or relations between different bioentities. In this article, we discuss the …

Gephi is a network visualization software used in various disciplines (social network
analysis, biology, genomics…). One of its key features is the ability to display the …

Somatic missense mutations can initiate tumorogenesis and, conversely, anti-tumor
cytotoxic T cell (CTL) responses. Tumor genome analysis has revealed extreme …

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 …

The evaluation of algorithms and techniques to implement intrusion detection systems
heavily rely on the existence of well designed datasets. In the last years, a lot of efforts have …

To integrate heterogeneous and large omics data constitutes not only a conceptual
challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel …

The combinatorial cross-regulation of hundreds of sequence-specific transcription factors
(TFs) defines a regulatory network that underlies cellular identity and function. Here we use …

Metabolomics is a rapidly growing field consisting of the analysis of a large number of
metabolites at a system scale. The two major goals of metabolomics are the identification of …