Data Mining Techniques for the Life Sciences

&nbsp;EBI data resources.-&nbsp;IMEx databases: displaying molecular interactions into a single, standards-compliant dataset.-&nbsp;Protein Three-dimensional Structure Databases.-&nbsp;Predicting protein conformational disorder and disordered binding sites.-&nbsp;Profiles of natural and designed protein-like sequences effectively bridge protein sequence gaps: Implications in distant homology detection.-&nbsp;Turning failures into applications: the problem of protein ΔΔG prediction.-&nbsp;Dissecting the genome for drug response prediction.-&nbsp;Prediction of the effect of pH on the aggregation and conditional folding of intrinsically disordered proteins with SolupHred and DispHred.-&nbsp;Extracting the dynamic motion of proteins using Normal Mode Analysis.-&nbsp;Pre- and Post- Publication Verification for Reproducible Data Mining in Macromolecular Crystallography.-&nbsp;Soft Statistical Mechanics for Biology.-&nbsp;Uses and abuses of the atomic displacement parameters in structural biology.-&nbsp;Optimizing the Parametrization of Homologue Classification in the Pan-Genome Computation for a Bacterial Species: Case Study Streptococcus pyogenes.-&nbsp;Computational pipeline for rational drug combination screening in patient-derived cells.-&nbsp;Deep Mining from Omics Data.<p><br></p>