Data Analytics for Protein Crystallization / by Marc L. Pusey, Ramazan Savaş Aygün.

Format:

Book

Author/Creator:

Pusey, Marc L., author.

Aygün, Ramazan Savaş, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Computational biology 1568-2684 ; 25.

Computational Biology, 1568-2684 ; 25

Language:

English

Subjects (All):

Bioinformatics.

Data mining.

Optical data processing.

Molecular biology.

Biotechnology.

Computational Biology/Bioinformatics.

Data Mining and Knowledge Discovery.

Image Processing and Computer Vision.

Molecular Medicine.

Local Subjects:

Computational Biology/Bioinformatics.

Data Mining and Knowledge Discovery.

Image Processing and Computer Vision.

Molecular Medicine.

Biotechnology.

Physical Description:

1 online resource (XX, 231 pages) : 66 illustrations, 56 illustrations in color.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

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. Dr. Marc L. Pusey is a Research Scientist at iXpressGenes, Incorporated Huntsville, AL, USA. Dr. Ramazan Savaş Aygün is an Associate Professor in the Computer Science Department of the University of Alabama in Huntsville, USA.

Contents:

Introduction to Protein Crystallization

Scoring and Phases of Crystallization

Computational Methods for Protein Crystallization Screening

Robotic Image Acquisition

Classification of Crystallization Trial Images

Crystal Growth Analysis

Focal Stacking for Crystallization Microscopy

Crystal Image Region Segmentation

Visualization

Other Structure Determination Methods

Future of Computational Protein Crystallization.

Other Format:

Printed edition:

ISBN:

978-3-319-58937-4

9783319589374

Access Restriction:

Restricted for use by site license.