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? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists;
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? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists;
Vergelijkbare producten zoals Algorithms for Next-Generation Sequencing
applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires;
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The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering;
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approaches, where the focus shifts from 'sequencing power' to better means of data analysis and visualization for common users. Today Next Generation;
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resources for microarray bioinformatics, microarray data analysis, microarray bioinformatics in systems biology, next generation sequencing data;
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Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range;
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next generation sequencing data analysis as urgent as challenging.;
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This title includes a number of Open Access chapters. Advances in information technology and next generation sequencing have propelled;
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Sequencing Data Analysis shows how next-generation sequencing (NGS) technologies are applied to transform nearly all aspects of biological research;
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Next-generation DNA sequencing (NGS) technology has revolutionized biomedical research, making genome and RNA sequencing an affordable and;
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This book introduces readers to Next Generation Sequencing applications in medical genetics. The authors discuss the direct application;
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Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data Key Features;
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sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote;
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High-throughput, next generation sequencing (NGS) technologies are capable of producing a huge amount of sequence data in a relatively;
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Due to their novel concepts and extraordinary high-throughput sequencing capacity, the next generation sequencing methods allow;
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Due to their novel concepts and extraordinary high-throughput sequencing capacity, the next generation sequencing methods allow;
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analysis, from low-dimensional to high dimensional, multivariate to functional data analysis with next-generation sequencing (NGS) data, and from;
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-dimensional to high dimensional, multivariate to functional data analysis with next-generation sequencing (NGS) data, and from homogeneous populations;
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technologies. These research questions gaps are very well addressed by Next-generation sequencing (NGS) has filled that gap of cheaper as well as;
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Next Generation Sequencing technology has been applied to clinical diagnoses in the past three to five years using various approaches;
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microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention;
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Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;
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Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;
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. With the explosion of Next-Generation Sequencing approaches, there has been a sea-change in the recognized phylogenetic relationships among and;
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