E-raamat: Data Mining Techniques for the Life Sciences

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