Leveraging User-Friendly Network Approaches to Extract Knowledge From High-Throughput Omics Datasets.

Recent technological advances for the acquisition of multi-omics data have allowed an unprecedented understanding of the complex intricacies of biological systems. In parallel, a myriad of computational analysis techniques and bioinformatics tools have been developed, with many efforts directed towards the creation and interpretation of networks from this data. In this review, we begin by examining key network concepts and terminology. Then, computational tools that allow for their construction and analysis from high-throughput omics datasets are presented. We focus on the study of functional relationships such as co-expression, protein-protein interactions, and regulatory interactions that are particularly amenable to modeling using the framework of networks. We envisage that many potential users of these analytical strategies may not be completely literate in programming languages and code adaptation, and for this reason, emphasis is given to tools' user-friendliness, including plugins for the widely adopted Cytoscape software, an open-source, cross-platform tool for network analysis, visualization, and data integration.

Isolated and combined effects of elevated CO2 and high temperature on the whole-plant biomass and the chemical composition of soybean seeds.

Soybean plants of the variety 'MG/BR Conquista' were grown in open top chambers, simulating elevated CO2 concentration ([CO2]) and high temperature under the following treatments: 1) ambient [CO2] and ambient temperature (Amb); 2) elevated [CO2] (eCO2) and ambient temperature (Elev); 3) ambient [CO2] and high temperature (Amb/Temp); 4) elevated CO2 and high temperature (Elev/Temp). The aim was to evaluate responses to elevated [CO2] and high temperature, with focus on plant development and seed yield, and composition. Elev stimulated grain yield and Amb/Temp had opposite effect. Several biochemical parameters were affected by Amb/Temp, most of them reversed by simultaneous application of Elev. The oil obtained with Elev/Temp had lower degree of unsaturation. A network of relationships among biochemical parameters of grains at three developmental stages revealed that Amb/Temp and Elev/Temp affect significantly both carbohydrate and lipid metabolisms. No significant difference was obtained comparing networks corresponding to Amb and Elev/Temp.

PFstats: A Network-Based Open Tool for Protein Family Analysis.

PFstats is a software developed for the extraction of useful information from protein multiple sequence alignments. By analyzing positional conservation and residue coevolution networks, the software allows the identification of structurally and functionally important residue groups and the discovery of probable functional subclasses. Furthermore, it contains tools for the identification of the possible biological significance of these findings. PFstats contains methods for maximizing the significance of alignments through filtering and weighting, residue conservation and coevolution analysis, automatic UniprotKb queries for residue-position annotation and many possible data visualization methods.