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Big Data Analytics in Genomics
Ka-Chun . Ed(S): Wong
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Description for Big Data Analytics in Genomics
Hardback. Editor(s): Wong, Ka-Chun. Num Pages: 436 pages, 12 black & white illustrations, 58 colour illustrations, biography. BIC Classification: PBT; PBW; UNA; UNF. Category: (G) General (US: Trade). Dimension: 235 x 155 x 24. Weight in Grams: 812.
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or ... Read more
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
436
Condition
New
Number of Pages
428
Place of Publication
Cham, Switzerland
ISBN
9783319412788
SKU
V9783319412788
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Ka-Chun . Ed(S): Wong
Ka-Chun Wong is Assistant Professor in the Department of Computer Science at City University of Hong Kong. He received his B.Eng. in Computer Engineering in 2008 and his M.Phil. degree in the Department of Computer Science and Engineering in 2010, both from United College, the Chinese University of Hong Kong. He finished his PhD at the Department of Computer Science ... Read more
Reviews for Big Data Analytics in Genomics
“This edited volume is intended to showcase the current research on big data analytics for genomics … . The edited volume is well-organized, structured, and topics appeared sequentially. Most of the chapters are self-contained. … this is a good collection of work in one place; I think this volume will attract a broader audience. I enjoyed reading a few chapters ... Read more