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Topological Data Analysis for Genomics and Evolution

topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and;

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Topological Data Analysis for Scientific Visualization

of topological data analysis for lecturers, students and researchers.;

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Topological Data Analysis for Scientific Visualization

of topological data analysis for lecturers, students and researchers.;

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Topological Dynamics and Topological Data Analysis

, from 9-11 December 2018. The book discusses topics on topological dynamical systems and topological data analysis. Topics are ranging from;

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Molecular Evolution

data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and;

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Topological Methods in Data Analysis and Visualization VI

field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide;

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Statistical Genomics

Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.;

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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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The Topology of Chaos

chaotic data, the topological signatures that determine the stretching and squeezing mechanisms which act on flows in phase space and are;

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Evolution after Gene Duplication

. Key Features: * Explores comparative genomics, genome evolution studies and analysis of multi-gene families such as Hox, globins, olfactory;

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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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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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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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User's Approach For Topological Methods In 3d Dynamical Systems, The

This book presents the development and application of some topological methods in the analysis of data coming from 3D dynamical systems (or;

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Plant Genome: Biodiversity and Evolution, Vol. 1, Part E

, congruence of karyotype and molecular data in Festuca and analysis of putative ancestors in Avena. The volume will be of interest to all students;

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Insight on Environmental Genomics

Genomics, this book discusses the characterization of the structure and dynamics of life, the study of the evolution and adaptation of genes and;

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Introduction to Evolutionary Genomics

for genome sequencing, phenotype data collection, homology searches and analysis, and phylogenetic tree and network building; discusses;

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Genomics in the Cloud Using Docker, GATK, and WDL in Terra

community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book;

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Topological Data Analysis: The Abel Symposium 2018

an overview of the emerging field of Topological Data Analysis . This volume presents papers on various research directions, notably;

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Data Production and Analysis in Population Genomics

that of the analysis methods. Therefore, Data Production and Analysis in Population Genomics purposely puts emphasis on protocols and methods;

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Data Production and Analysis in Population Genomics

that of the analysis methods. Therefore, Data Production and Analysis in Population Genomics purposely puts emphasis on protocols and methods;

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Data Mining and Applications in Genomics

provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and;

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Data Mining and Applications in Genomics

provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and;

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Geometric and Topological Inference

field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book;

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Geometric and Topological Inference

field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book;

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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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