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Data Analytics for Protein Crystallization

  • Marc L. Pusey
  • Ramazan Savaş Aygün
Book

Part of the Computational Biology book series (COBO, volume 25)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 1-20
  3. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 21-32
  4. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 33-56
  5. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 57-81
  6. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 83-123
  7. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 125-149
  8. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 151-176
  9. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 177-197
  10. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 199-210
  11. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 211-222
  12. Marc L. Pusey, Ramazan Savaş Aygün
    Pages 223-226
  13. Back Matter
    Pages 227-231

About this book

Introduction

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, Inc. Huntsville, AL, USA. Dr. Ramazan Savaş Aygün is an Associate Professor in the Computer Science Department of the University of Alabama in Huntsville, USA.

Keywords

Protein Crystallization Protein Crystallization Screening Protein Crystallization Trial Image Analysis Protein Crystallization Scoring Phases of Protein Crystallization

Authors and affiliations

  • Marc L. Pusey
    • 1
  • Ramazan Savaş Aygün
    • 2
  1. 1.iXpressGenes, Inc.HuntsvilleUSA
  2. 2.University of Alabama in HuntsvilleHuntsvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-58937-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-58936-7
  • Online ISBN 978-3-319-58937-4
  • Series Print ISSN 1568-2684
  • Buy this book on publisher's site