{"title":"Series: Chapman \u0026 Hall\/CRC Computational Biology Series","description":null,"products":[{"product_id":"big-data-in-omics-and-imaging-by-momiao-xiong-9780815387107","title":"Big Data in Omics and Imaging","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eBig Data in Omics and Imaging: Integrated Analysis and Causal Inference\u003c\/em\u003e addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in the big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), genome-wide expression studies (GWES), and epigenome-wide association studies (EWAS), the overall contribution of the newly identified genetic variants is small, and a large fraction of genetic variants is still hidden. Understanding the aetiology and causal chain of mechanisms underlying complex diseases remains elusive. It is time to bring big data, machine learning, and causal revolution to developing a new generation of genetic analysis, shifting the current paradigm from shallow association analysis to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism of complex diseases.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eProvides a natural extension and companion volume to \u003cem\u003eBig Data in Omic and Imaging: Association Analysis\u003c\/em\u003e, but can be read independently.\u003c\/li\u003e\n    \u003cli\u003eIntroduces causal inference theory to genomic, epigenomic and imaging data analysis.\u003c\/li\u003e\n    \u003cli\u003eDevelops novel statistics for genome-wide causation studies and epigenome-wide causation studies.\u003c\/li\u003e\n    \u003cli\u003eBridges the gap between traditional association analysis and modern causation analysis.\u003c\/li\u003e\n    \u003cli\u003eUses combinatorial optimisation methods and various causal models as a general framework for inferring multilevel omic and image causal networks.\u003c\/li\u003e\n    \u003cli\u003ePresents statistical methods and computational algorithms for searching causal paths from genetic variants to disease.\u003c\/li\u003e\n    \u003cli\u003eDevelops causal machine learning methods integrating causal inference and machine learning.\u003c\/li\u003e\n    \u003cli\u003eDevelops statistics for testing significant differences in directed edges, paths, and graphs, and for assessing causal relationships between two networks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe book is designed for graduate students and researchers in genomics, epigenomics, medical imaging, bioinformatics, and data science. Topics covered include: mathematical formulation of causal inference, information geometry for causal inference, topology group and Haar measure, additive noise models, distance correlation, multivariate causal inference and causal networks, dynamic causal networks, multivariate and functional structural equation models, mixed structural equation models, causal inference with confounders, integer programming, deep learning and differential equations for wearable computing, genetic analysis of function-valued traits, RNA-seq data analysis, causal networks for genetic methylation analysis, gene expression and methylation deconvolution, cell-specific causal networks, deep learning for image segmentation and image analysis, imaging and genomic data analysis, and integrated multilevel causal genomic, epigenomic and imaging data analysis.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47605138751724,"sku":"9780815387107","price":306.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780815387107-big-data-in-omics-and-imaging.jpg?v=1778124236"},{"product_id":"introduction-to-proteins-by-amit-kessel-9781498747172","title":"Introduction to Proteins","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eIntroduction to Proteins\u003c\/em\u003e provides a comprehensive and state-of-the-art introduction to the structure, function, and motion of proteins for students, faculty, and researchers at all levels. The book covers proteins and enzymes across a wide range of contexts and applications, including medical disorders, drugs, toxins, chemical warfare, and animal behaviour. Each chapter includes a Summary, Exercises, and References.\u003c\/p\u003e\n\n\u003cp\u003eNew features in the thoroughly updated second edition include:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eA brand-new chapter on enzymatic catalysis\u003c\/strong\u003e, describing enzyme biochemistry, classification, kinetics, thermodynamics, mechanisms, and applications in medicine and other industries. These are accompanied by \u003cb\u003emultiple animations\u003c\/b\u003e of biochemical reactions and mechanisms, \u003cb\u003eaccessible via embedded QR codes\u003c\/b\u003e (which can be viewed by smartphones).\u003c\/li\u003e\n  \u003cli\u003eAn in-depth discussion of \u003cb\u003eG-protein-coupled receptors (GPCRs)\u003c\/b\u003e.\u003c\/li\u003e\n  \u003cli\u003eA wider-scale description of \u003cstrong\u003ebiochemical and biophysical methods for studying proteins\u003c\/strong\u003e, including \u003cb\u003efully accessible internet-based resources\u003c\/b\u003e, such as databases and algorithms.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAnimations of protein dynamics and conformational changes\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eAdditional features include:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eExtensive discussion of the energetics of protein folding, stability, and interactions.\u003c\/li\u003e\n  \u003cli\u003eA comprehensive view of membrane proteins, with emphasis on structure-function relationships.\u003c\/li\u003e\n  \u003cli\u003eCoverage of intrinsically unstructured proteins, providing a complete, realistic view of the proteome and its underlying functions.\u003c\/li\u003e\n  \u003cli\u003eExploration of industrial applications of protein engineering and rational drug design.\u003c\/li\u003e\n  \u003cli\u003eEach chapter includes a Summary, Exercises, and References.\u003c\/li\u003e\n  \u003cli\u003eApproximately 300 colour images.\u003c\/li\u003e\n  \u003cli\u003eDownloadable solutions manual available at www.crcpress.com.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor more information, including all presentations, tables, animations, and exercises, as well as a complete teaching course on proteins' structure and function, please visit the author's website: \u003ca href=\"https:\/\/bentalab.sites.tau.ac.il\/protein-book\"\u003ehttps:\/\/bentalab.sites.tau.ac.il\/protein-book\u003c\/a\u003e.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePraise for the first edition\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\"This book captures, in a very accessible way, a growing body of literature on the structure, function and motion of proteins. This is a superb publication that would be very useful to undergraduates, graduate students, postdoctoral researchers, and instructors involved in structural biology or biophysics courses or in research on protein structure-function relationships.\" -- \u003cstrong\u003eDavid Sheehan\u003c\/strong\u003e, \u003ci\u003eChemBioChem\u003c\/i\u003e, 2011\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eIntroduction to Proteins\u003c\/em\u003e is an excellent, state-of-the-art choice for students, faculty, or researchers needing a monograph on protein structure. This is an immensely informative, thoroughly researched, up-to-date text, with broad coverage and remarkable depth. \u003cem\u003eIntroduction to Proteins\u003c\/em\u003e would provide an excellent basis for an upper-level or graduate course on protein structure, and a valuable addition to the libraries of professionals interested in this centrally important field.\" -- \u003cstrong\u003eEric Martz\u003c\/strong\u003e, \u003ci\u003eBiochemistry and Molecular Biology Education\u003c\/i\u003e, 2012\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47606303949036,"sku":"9781498747172","price":212.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/2f9e3fc3d6baf23ba790f654547b987a.jpg?v=1778192829"}],"url":"https:\/\/bookhero.co.nz\/collections\/series-chapman-hall-crc-computational-biology-series.oembed","provider":"Book Hero","version":"1.0","type":"link"}