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Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this;

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Genomics and Proteomics Engineering in Medicine and Biology

-proteomics areas. Structures and algorithms are used to analyze genomic data and develop computational solutions for pathological understanding;

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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization;

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Bioinformatics Research and Applications

visualization; gene expression analysis; genome analysis; high-performance bio-computing; metagenomics; molecular evolution; molecular modelling and;

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Proteomics Data Analysis

will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce;

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Automation in Proteomics and Genomics

of the development of new high-throughput techniques and the computational machinery needed to analyze data generated. Automation in Proteomics;

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Computational Genomics

prediction, mircroarray data analysis, and proteomics. The book is also useful as a teaching reference for graduates and undergraduate students.;

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Informatics In Proteomics

The handling and analysis of data generated by proteomics investigations represent a challenge for computer scientists, biostatisticians;

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Proteomics

turning to the analysis of the proteins encoded by genomes - proteomics. This is a rapidly emerging research area and this book reviews recent;

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Challenges in Delivery of Therapeutic Genomics and Proteomics

Delivery of therapeutic proteomics and genomics represent an important area of drug delivery research. Genomics and proteomics;

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Genomics and Proteomics

biological data * The impact of transgenic crops on soil quality, microbial diversity, and plant-associated communities. * Biotechnological;

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Genomics and Proteomics

processes from biological data * The impact of transgenic crops on soil quality, microbial diversity, and plant-associated communities;

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Comparative Genomics and Proteomics in Drug Discovery

Comparative Genomics and Proteomics in Drug Discovery gives an overview of how emerging genomic and proteomic technologies are making;

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Comparative Genomics and Proteomics in Drug Discovery

Comparative Genomics and Proteomics in Drug Discovery gives an overview of how emerging genomic and proteomic technologies are making;

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Computational Genomics with R

genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and;

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Computational Genomics with R

visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will;

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Bioinformatics and Biomedical Engineering: 8th International Work-Conference, Iwbbio 2020, Granada, Spain, May 6-8, 2020, Proceedings

Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and;

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Knowledge Discovery in Proteomics

data preprocessing, storage, and access to analysis, visualization, and interpretation. With clear exposition, practical examples, and rich;

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Knowledge Discovery in Proteomics

data preprocessing, storage, and access to analysis, visualization, and interpretation. With clear exposition, practical examples, and rich;

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Omics in Clinical Practice

This title includes a number of Open Access chapters. This book serves as an introduction to genomics, proteomics, and;

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Omics in Clinical Practice

This title includes a number of Open Access chapters. This book serves as an introduction to genomics, proteomics, and transcriptomics;

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Epigenetics and Proteomics of Leukemia

fractionation and visualization, proteomic data processing, image acquisition and data anlaysis, and more. Protein localization in leukemia is also;

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Electrochemistry of Nucleic Acids And Proteins

/>* Covers highly sophisticated methods of electrochemical analysis of nucleic acids and proteins* Summarises the present state;

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Bioinformatics and Biomedical Engineering

; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges;

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Bioinformatics and Biomedical Engineering

; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges;

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Advances in Bioinformatics and Computational Biology

, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;

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Statistical Analysis in Proteomics

preprocessing and analysis of the data, the integration of proteomics data with other high-throughput data, as well as some special topics. Written for;

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