Scalable Big Data Analytics for Protein Bioinformatics: Efficient Computational Solutions for Protein Structures (Computational Biology (28))

Mrozek, Dariusz

ISBN 10: 3319988387 / ISBN 13: 9783319988382

Edité par Springer, 2018

A propos de cet article

New.

N° de réf. du vendeur ERICA79733199883876

Détails bibliographiques

• Titre: Scalable Big Data Analytics for Protein Bioinformatics: Efficient Computational Solutions for Protein Structures (Computational Biology (28))
• Éditeur: Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319988387
• ISBN à 13 chiffres: 9783319988382
• Reliure: Hardcover
• État de l'article: New
• Type de livre: book

A propos de ce titre

Synopsis

Highlights the potential of new computational techniques, such as cloud computing and big data technologies, in protein bioinformatics

Presents a focus on protein structure, which remains poorly understood and is not effectively used in medicine

Describes methods for applying structural bioinformatics in medical diagnostics

À propos de l?auteur

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.