Data Analytics for Protein Crystallization

Nonfiction, Computers, Advanced Computing, Computer Science, Database Management, Science & Nature, Science
Cover of the book Data Analytics for Protein Crystallization by Marc L. Pusey, Ramazan Savaş Aygün, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marc L. Pusey, Ramazan Savaş Aygün ISBN: 9783319589374
Publisher: Springer International Publishing Publication: November 27, 2017
Imprint: Springer Language: English
Author: Marc L. Pusey, Ramazan Savaş Aygün
ISBN: 9783319589374
Publisher: Springer International Publishing
Publication: November 27, 2017
Imprint: Springer
Language: English

This unique text/reference presents an overview of the computational aspects of protein crystallization, describing how to build robotic high-throughput and crystallization analysis systems. The coverage encompasses the complete data analysis cycle, including the set-up of screens by analyzing prior crystallization trials, the classification of crystallization trial images by effective feature extraction, the analysis of crystal growth in time series images, the segmentation of crystal regions in images, the application of focal stacking methods for crystallization images, and the visualization of trials.

Topics and features: describes the fundamentals of protein crystallization, and the scoring and categorization of crystallization image trials; introduces a selection of computational methods for protein crystallization screening, and the hardware and software architecture for a basic high-throughput system; presents an overview of the image features used in protein crystallization classification, and a spatio-temporal analysis of protein crystal growth; examines focal stacking techniques to avoid blurred crystallization images, and different thresholding methods for binarization or segmentation; discusses visualization methods and software for protein crystallization analysis, and reviews alternative methods to X-ray diffraction for obtaining structural information; provides an overview of the current challenges and potential future trends in protein crystallization.

This interdisciplinary work serves as an essential reference on the computational and data analytics components of protein crystallization for the structural biology community, in addition to computer scientists wishing to enter the field of protein crystallization.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This unique text/reference presents an overview of the computational aspects of protein crystallization, describing how to build robotic high-throughput and crystallization analysis systems. The coverage encompasses the complete data analysis cycle, including the set-up of screens by analyzing prior crystallization trials, the classification of crystallization trial images by effective feature extraction, the analysis of crystal growth in time series images, the segmentation of crystal regions in images, the application of focal stacking methods for crystallization images, and the visualization of trials.

Topics and features: describes the fundamentals of protein crystallization, and the scoring and categorization of crystallization image trials; introduces a selection of computational methods for protein crystallization screening, and the hardware and software architecture for a basic high-throughput system; presents an overview of the image features used in protein crystallization classification, and a spatio-temporal analysis of protein crystal growth; examines focal stacking techniques to avoid blurred crystallization images, and different thresholding methods for binarization or segmentation; discusses visualization methods and software for protein crystallization analysis, and reviews alternative methods to X-ray diffraction for obtaining structural information; provides an overview of the current challenges and potential future trends in protein crystallization.

This interdisciplinary work serves as an essential reference on the computational and data analytics components of protein crystallization for the structural biology community, in addition to computer scientists wishing to enter the field of protein crystallization.

More books from Springer International Publishing

Cover of the book Intercultural Communication by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Critical Care Nutrition Therapy for Non-nutritionists by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Normativity in Legal Sociology by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Understanding Invasive Species in the Galapagos Islands by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Smart Education and e-Learning 2016 by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Biofilm-based Healthcare-associated Infections by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book The Global Histories of Books by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Information Systems, Management, Organization and Control by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book An Introduction to Silent Speech Interfaces by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Citizen Empowerment and Innovation in the Data-Rich City by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Antiepileptic Drugs and Pregnancy by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Contemporary Masculinities by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Regulated Open Multi-Agent Systems (ROMAS) by Marc L. Pusey, Ramazan Savaş Aygün
Cover of the book Games and Learning Alliance by Marc L. Pusey, Ramazan Savaş Aygün
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy