Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big
data. A huge amount of high dimensional and complex structured data has made it no …

The rapid advancements in high-throughput techniques have fueled large-scale production
of biological data at very affordable costs. Some of these techniques are microarrays and …

Abstract Particle Swarm Optimization (PSO) is a meta-heuristic approach based on swarm
intelligence, which is inspired by the social behaviour of bird flocking or fish schooling. The …

Data generation using high throughput technologies has led to the accumulation of diverse
types of molecular data. These data have different types (discrete, real, string, etc.) and …

Microarray is one of the essential technologies used by the biologists to measure genome-
wide expression levels of genes in a particular organism under some particular conditions or …

Gene Regulatory Network (GRN) inference using computational approaches has been a
highly pursued problem in bioinformatics. Various approaches have been developed to infer …

Reverse engineering of biochemical networks remains an important open challenge in
computational systems biology. The goal of model inference is to, based on time-series …

The article is dedicated to the reproduction of behavior of a class of protozoans (ciliates)
using computer simulation and genetic optimization. Protozoans have minimal cognitive …

Background The temporal progression of many fundamental processes in cells and
organisms, including homeostasis, differentiation and development, are governed by gene …

Proteins from thermophiles can preserve their basic structures and original functions at high
temperature. However, most of the mesophilic proteins are vulnerable to such extreme …