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Springer - Big Data Analytics in Genomics - Research Book

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Description

Big Data Analytics in Genomics by Springer explores the growing connection between large-scale data analysis and genomic science. As recent sequencing technologies enable high-throughput data generation, international projects are causing genomic data to accumulate at an unprecedented pace. This volume addresses the limitations of traditional data analysis methods, which may no longer be sufficient or scalable for today's massive datasets. By focusing on the development of big data analytics specifically for genomics, this book provides insight into the computational methods required to reveal novel genomic findings within reasonable time frames. It is a necessary resource for understanding how to manage and interpret the vast amounts of information produced by modern sequencing technologies.

Key Features

Explores the intersection of big data analytics and modern genomics research.

Addresses the challenges of high-throughput sequencing data generation.

Provides insight into managing massive genomic data accumulation from international projects.

Discusses the limitations of traditional data analysis methods in scalable environments.

Focuses on developing computational methods to reveal novel genomic insights.

Examines the need for scalable big data solutions in genomic science.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 April 2018
Listed Since
24 April 2018

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