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Video Bioinformatics - From Live Imaging to Knowledge (Hardcover, 1st ed. 2015) Loot Price: R3,522
Discovery Miles 35 220
You Save: R721 (17%)
Video Bioinformatics - From Live Imaging to Knowledge (Hardcover, 1st ed. 2015): Bir Bhanu, Prue Talbot

Video Bioinformatics - From Live Imaging to Knowledge (Hardcover, 1st ed. 2015)

Bir Bhanu, Prue Talbot

Series: Computational Biology, 22

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List price R4,243 Loot Price R3,522 Discovery Miles 35 220 | Repayment Terms: R330 pm x 12* You Save R721 (17%)

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The advances of live cell video imaging and high-throughput technologies for functional and chemical genomics provide unprecedented opportunities to understand how biological processes work in subcellularand multicellular systems. The interdisciplinary research field of Video Bioinformatics is defined by BirBhanu as the automated processing, analysis, understanding, data mining, visualization, query-basedretrieval/storage of biological spatiotemporal events/data and knowledge extracted from dynamic imagesand microscopic videos. Video bioinformatics attempts to provide a deeper understanding of continuousand dynamic life processes.Genome sequences alone lack spatial and temporal information, and video imaging of specific moleculesand their spatiotemporal interactions, using a range of imaging methods, are essential to understandhow genomes create cells, how cells constitute organisms, and how errant cells cause disease. The bookexamines interdisciplinary research issues and challenges with examples that deal with organismal dynamics,intercellular and tissue dynamics, intracellular dynamics, protein movement, cell signaling and softwareand databases for video bioinformatics.Topics and Features* Covers a set of biological problems, their significance, live-imaging experiments, theory andcomputational methods, quantifiable experimental results and discussion of results.* Provides automated methods for analyzing mild traumatic brain injury over time, identifying injurydynamics after neonatal hypoxia-ischemia and visualizing cortical tissue changes during seizureactivity as examples of organismal dynamics* Describes techniques for quantifying the dynamics of human embryonic stem cells with examplesof cell detection/segmentation, spreading and other dynamic behaviors which are important forcharacterizing stem cell health* Examines and quantifies dynamic processes in plant and fungal systems such as cell trafficking,growth of pollen tubes in model systems such as Neurospora Crassa and Arabidopsis* Discusses the dynamics of intracellular molecules for DNA repair and the regulation of cofilintransport using video analysis* Discusses software, system and database aspects of video bioinformatics by providing examples of5D cell tracking by FARSIGHT open source toolkit, a survey on available databases and software,biological processes for non-verbal communications and identification and retrieval of moth imagesThis unique text will be of great interest to researchers and graduate students of Electrical Engineering,Computer Science, Bioengineering, Cell Biology, Toxicology, Genetics, Genomics, Bioinformatics, ComputerVision and Pattern Recognition, Medical Image Analysis, and Cell Molecular and Developmental Biology.The large number of example applications will also appeal to application scientists and engineers.Dr. Bir Bhanu is Distinguished Professor of Electrical & C omputer Engineering, Interim Chair of theDepartment of Bioengineering, Cooperative Professor of Computer Science & Engineering, and MechanicalEngineering and the Director of the Center for Research in Intelligent Systems, at the University of California,Riverside, California, USA.Dr. Prue Talbot is Professor of Cell Biology & Neuroscience and Director of the Stem Cell Center and Core atthe University of California Riverside, California, USA.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Computational Biology, 22
Release date: December 2015
First published: 2015
Editors: Bir Bhanu • Prue Talbot
Dimensions: 235 x 155 x 24mm (L x W x T)
Format: Hardcover
Pages: 381
Edition: 1st ed. 2015
ISBN-13: 978-3-319-23723-7
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-319-23723-3
Barcode: 9783319237237

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