Description: Computational Methods for Next Generation Sequencing Data Analysis by Ion Mandoiu, Alexander Zelikovsky, Yi Pan, Albert Y. Zomaya Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Aiming to foster future collaborations between researchers in algorithms, bioinformatics, and molecular biology, this book serves as an up-to-date survey of the most important recent developments and computational challenges in various application areas of next-generation sequencing technologies. Publisher Description Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithmsDiscusses the mathematical and computational challenges in NGS technologiesCovers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics. Author Biography Ion Mandoiu, PhD, is an associate professor in the Computer Science and Engineering Department at the University of Connecticut, USA. His main research interests are in the design and analysis of approximation algorithms for NP-hard optimization problems, particularly in the area of bioinformatics. Dr. Mandoiu has authored over 100 refereed articles in journals and conference proceedings. He has also co-edited (with A. Zelikovsky) a book on Bioinformatics Algorithms: Techniques and Applications (Wiley 2008). Alexander Zelikovsky, PhD, is a Distinguished University Professor with the Computer Science Department at the Georgia State University, USA. His research focuses on discrete algorithms and their applications in computational biotechnology and biology, bioinformatics, VLSI CAD, and wireless networks. Dr. Zelikovsky has authored more than 170 refereed publications. He served as the co-Chair of International Symposium on Bioinformatics Research and Applications (2005-2016) and the Workshop on Computational Advances in Next-Generation Sequencing (2011-2015). Details ISBN 1118169484 ISBN-13 9781118169483 Title Computational Methods for Next Generation Sequencing Data Analysis Author Ion Mandoiu, Alexander Zelikovsky, Yi Pan, Albert Y. Zomaya Format Hardcover Year 2016 Pages 464 Edition 1st Publisher John Wiley & Sons Inc GE_Item_ID:137287923; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. 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Price: 135.46 USD
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End Time: 2024-12-25T06:20:18.000Z
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ISBN-13: 9781118169483
Book Title: Computational Methods for Next Generation Sequencing Data Analysi
Number of Pages: 464 Pages
Publication Name: Computational Methods for Next Generation Sequencing Data Analysis
Language: English
Publisher: Wiley & Sons, Incorporated, John
Item Height: 1.2 in
Publication Year: 2016
Subject: Programming / Algorithms, Chemical & Biochemical, Chemistry / Organic
Type: Textbook
Item Weight: 26.5 Oz
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering, Science
Author: Alexander Zelikovsky
Series: Wiley Series in Bioinformatics Ser.
Item Width: 6.3 in
Format: Hardcover
