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Deep Sequencing Data Analysis

deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning;

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Next Generation Sequencing and Data Analysis

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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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Tag-based Next Generation Sequencing

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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Computational Methods for Next Generation Sequencing Data Analysis

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 and Sequence Data Analysis

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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical;

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Data Analysis for Omic Sciences: Methods and Applications

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed;

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Next Generation Microarray Bioinformatics

resources for microarray bioinformatics, microarray data analysis, microarray bioinformatics in systems biology, next generation sequencing data;

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Computational Exome and Genome Analysis

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an;

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Computational Exome and Genome Analysis

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an;

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Sequencing Technologies in Microbial Food Safety and Quality

Molecular landscape for food safety analysis is rapidly revolutionizing because of high resolution and value added resulting analysis;

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Next-Generation Sequencing Data Analysis

Sequencing Data Analysis shows how next-generation sequencing (NGS) technologies are applied to transform nearly all aspects of biological research;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Bioinformatics for High Throughput Sequencing

next generation sequencing data analysis as urgent as challenging.;

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Automated DNA Sequencing and Analysis

A timely book for DNA researchers, Automated DNA Sequencing and Analysis reviews and assesses the state of the art of automated DNA;

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Bioinformatics and Data Analysis in Microbiology

The rapid advancement of sequencing techniques, coupled with the new methodologies of bioinformatics to handle large-scale data analysis;

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Bioinformatics with Python Cookbook - Second Edition: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge rese

, metagenomics, automating analysis, population genetics, and more Explore various statistical and machine learning techniques for bioinformatics data;

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Next Generation Sequencing

around the world, this book explores the most recent advances in NGS instrumentation and data analysis. The book begins with a comprehensive;

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Genome Annotation

genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis. The book initially takes you;

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Bacterial Genomics

of bacterial adaptation and evolution. This book presents the application of genomic tools to examine bacterial adaptation. The emphasis is on data;

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Genome-Scale Algorithm Design

High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address;

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Bioinformatics and Biomedical Engineering

: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer;

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DNA Sequencing

of the methodology of DNA sequencing, as well as sequence analysis. It describes the basic methods (both manual and automated) and the more;

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Analysis of Microarray Gene Expression Data

ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide;

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Deep Learning for Data Analytics

analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning;

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