Scalable Big Data Analytics for Protein Bioinformatics

Dariusz Mrozek is currently an Associate Professor and Head of Division of Theory of Informatics in Institute of Informatics at the Silesian University of Technology (SUT) in Gliwice, Poland. He received his PhD degree from SUT in 2006. His research interests cover bioinformatics, information systems, parallel and Cloud computing, databases and Big data. He is now focused on the analysis of protein structures, functions and activities, and the use of novel computation techniques to get insights from biological data, including NGS and proteomics data. He is the author of 90+ papers published in conference proceedings and international journals, co-editor of thirteen books devoted to databases and data processing, and editor of two special issues in reputable scientific journals. He is a member of the IEEE Engineering in Medicine and Biology Society (EMBS), IEEE Systems, Man, and Cybernetics Society (SMCS), and IEEE Cloud Computing Community. Working in different research projects, he cooperated with qualified institutions, e.g. Imperial College of London (on the Chernobyl Tissue Bank), V P Komisarenko Institute of Endocrinology and Metabolism - Academy of Medical Sciences of the Ukraine, Medical Radiological Research Centre - Russian Academy of Medical Sciences, Helmholtz Zentrum Muenchen Deutsches Forschungszentrum Fuer Gesundheit und Umwelt Gmbh, Microsoft Research in the USA, Institute of Oncology in Gliwice, Poland, Medical University of Silesia, Katowice, Poland.

“In this book, the author deals with various techniques that can be used for data handling and efficient analysis related to computational processes that require a great deal of time and effort, for example, structure similarity searching, protein structure modeling, protein structure alignment, and superposition.” (Jasbir Kaur, zbMath 1411.92002, 2019)“This excellent and practically oriented text can benefit researchers seeking to establish a cloud-based bioinformatics HPC facility. Note that most of the solutions are implemented as embarrassingly parallel processes and not as distributed parallel processes. The book will be of interest to researchers and scientific software developers of bioinformatics and biomedical databases.” (Alexander Tzanov, Computing Reviews, June 06, 2019)

• Formal Model of 3D Protein Structures for Functional Genomics, Comparative Bioinformatics, and Molecular Modeling.- Multithreaded PSS-SQL for Searching Databases of Secondary Structures.- GPU and CUDA for 3D Protein Structure Similarity Searching.- Cloud Computing for 3D Protein Structure Alignment.- General Discussion and Concluding Remarks.