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Integrating Omics Data

assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information;

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Omics Technologies and Bio-engineering: Volume 2

that will inform and improve medical and biological research by helping readers gain more direct access to analytic data, an increased;

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Omics Technologies and Bio-Engineering

that will inform and improve medical and biological research by helping readers gain more direct access to analytic data, an increased;

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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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Systems Analytics and Integration of Big Omics Data

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Extracellular Matrix Omics

glycosaminoglycans, which are key biological players. The use of omics data to build dynamic models of ECM-regulated biological pathways is addressed;

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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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Recent Trends in Computational Omics

data, which required computational applications, i.e., database, algorithm and software to store, process and get biological interpretation;

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Applications of Advanced Omics Technologies: From Genes to Metabolites

and updated aspects on bioinformatics, data treatment, data integration and systems biology. This book complements the previous volume;

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Omics Approaches, Technologies And Applications

This book is a concerted effort to put together the rapidly growing facets of biological data. It provides a platform for the readers to;

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Single-Cell Omics

, diverse technologies applied in the topic, such as pangenomics, metabolomics, and multi-omics of single cells, data analysis, and several;

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Application of Omics, AI and Blockchain in Bioinformatics Research

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level;

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Application and Integration of Omics-powered Diagnostics in Clinical and Public Health Microbiology

Various omics methods have recently revolutionized molecular diagnostics. Next-generation sequenci;...

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Omics Technologies and Crop Improvement

Improvement reviews data on food sciences and omics. The book covers modern omic technologies such as nutrigenomics and metagenomics. It provides a;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Essential Computing Skills for Biologists

in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the;

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OMICS

A reflection of the explosion of research and development in this field, OMICS: Biomedical Perspecti;...

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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OMICS

With the advent of new technologies and acquired knowledge, the number of fields in omics and their ;...

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Single-Cell Omics

Single-cell Omics, Volume 2: Advances in Applications provides the latest single-cell omics appl;...

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Reproductomics

molecular factors of translational value in treating infertility and analyzing patient dataFeatures chapter contributions by leading;

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Mathematica for Bioinformatics

broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise;

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Food Authentication and Traceability

, hyperspectral and chemical imaging, molecular and DNA-based techniques, chemometrics and data mining algorithms, high-throughput sequencing, and non;

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