A new bioinformatic methodology was developed founded on the Unsupervised Pattern Cognition Analysis of GRID-based BioGPS descriptors (Global Positioning System in Biological Space). The procedure relies entirely on three-dimensional structure analysis of enzymes and does not stem from sequence or structure alignment. The BioGPS descriptors account for chemical, geometrical and physical-chemica...

e aim of this thesis is develop methods to extract information from high-dimensionality data and to apply in looking at gene-gene and gene-protein interactions in Acute Myeloid Leukemia (AML). e in silico methods developed can be used with data from other systems. e thesis gives an overview of the field for network inference and deconvolution methods, as well as a brief background on the bio...

Background: Atrial fibrillation (AF) is the most common complication in patients undergoing cardiac surgery. However, pathogenesis of postoperative AF (POAF) elusive, and research related to this topic sparse. Our study aimed identify key gene modules genes conduct a circular RNA (circRNA)-microRNA (miRNA)-messenger (mRNA) regulatory network analysis POAF on basis bioinformatic analysis.

RNA-sequencing and tailored bioinformatic methodologies have paved the way for identification of expressed fusion genes from the chaotic genomes of solid tumors. We have recently successfully exploited RNA-sequencing for the discovery of 24 novel fusion genes in breast cancer. Here, we demonstrate the importance of continuous optimization of the bioinformatic methodology for this purpose, and r...

Life sciences research and development has opened up new challenges and opportunities for bioinformatics. The contribution of bioinformatics advances made possible the mapping of the entire human genome and genomes of many other organisms in just over a decade. These discoveries, along with current efforts to determine gene and protein functions, have improved our ability to understand the root...