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Author: Xinghua Mindy Shi
Publisher: Humana
ISBN: 9781071600283
Category : Science
Languages : en
Pages : 252
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Book Description
This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field.
Author: Xinghua Mindy Shi
Publisher: Humana
ISBN: 9781071600283
Category : Science
Languages : en
Pages : 252
Get Book Here
Book Description
This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field.
Author: Krishnarao Appasani
Publisher: Cambridge University Press
ISBN: 1107042763
Category : Medical
Languages : en
Pages : 449
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Book Description
Experts from academia and industry highlight the potential of genome-wide association studies from basic science to clinical and biotechnological/pharmaceutical applications.
Author: Xinghua Mindy Shi
Publisher: Humana
ISBN: 9781071600252
Category : Science
Languages : en
Pages : 0
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Book Description
This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field.
Author: Jianfeng Feng
Publisher: Springer Science & Business Media
ISBN: 1849961964
Category : Science
Languages : en
Pages : 411
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Book Description
Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.
Author: Chuan Gao
Publisher:
ISBN:
Category :
Languages : en
Pages : 184
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Book Description
Finding genetic variants that regulate gene expression now plays a central role in the analysis of mechanism in biological systems. This will also increasingly be the case as large amounts of gene expression and genetic marker data are generated by next-generation sequencing technologies. While the unprecedented scale of these data is providing the opportunity for scientists to answer basic questions about biological systems, the properties of these data raise analysis challenges, particularly in terms of covariate modeling. For example, expression levels of thousands of genes are usually measured in batches and different batches may be measured under different conditions, which creates the well known batch effect. Besides this artificially created factor that can affect the quality of the measurement, expression data often reflect environmental regulators that change the gene expression levels, such as smoking, drug usage etc. These sources of confounding need to be addressed either before or during analysis of data. In this thesis, I address the analysis issues raised by a particular type of confounding in high-dimensional data: hidden factor effects. Hidden factors are defined as factors that contribute to variation in a large number of measured variables where there is no direct information concerning the factors in the data. It is critical to correct for the hidden factors because if ignored, they can lead to either high false positive rates or reduced power. To tackle this issue, I propose to use a statistical model that combines multivariate ridge regression and factor analysis to infer both the fixed effects and the hidden confounding. The method is unique in the sense that it employs the multivariate regression components to infer the associations between the response Y and the covariate X, while it maintains efficiency by sharing the same data reduction property with the factor analysis model. Compared to other models that address the same issue, this model can successfully partition the covariance structure of the hidden factors, which dramatically improves the power and the accuracy of detecting the real associations between X and Y.I also used the model to address the hidden factors issues in the analysis of data on gene expression levels measured in the airway of the lung in a sample of people, in the context of a genome association study, referred to as an expression Quantitative Trait Loci (eQTL) analysis. I show that the method successfully eliminates the false positives caused by spurious structures (hidden factors) and greatly improves the power to detect true genetic determinants (the eQTL) that regulate gene expression in the lung airway. I also apply the method to a challenging Genotype-Environment Interaction (GEI) analysis, where GEI effects are defined as the dependence of genotype-phenotype relationships on environmental factors. I show that despite the small sample size and the highly complicated data structure, with my method, I can identify a large number of interesting GEI associations, many have been verified indepently by other studies to be highly relevant genes to lung disease and lung functions. These GEI associations contain more information than a typical eQTL because they help to identify genetic regulators that show different behavior under different environmental pressures, which serve as an interesting set of gene candidates for clinical scientists.
Author: Yadolah Dodge
Publisher: Springer Science & Business Media
ISBN: 0387317422
Category : Mathematics
Languages : en
Pages : 612
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Book Description
The Concise Encyclopedia of Statistics presents the essential information about statistical tests, concepts, and analytical methods in language that is accessible to practitioners and students of the vast community using statistics in medicine, engineering, physical science, life science, social science, and business/economics. The reference is alphabetically arranged to provide quick access to the fundamental tools of statistical methodology and biographies of famous statisticians. The more than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the key citations. The back matter includes a timeline of statistical inventions. This reference will be an enduring resource for locating convenient overviews about this essential field of study.
Author: David J. Balding
Publisher: John Wiley & Sons
ISBN: 1119429250
Category : Science
Languages : en
Pages : 1828
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Book Description
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Author: Jacob Peedicayil
Publisher: Academic Press
ISBN: 0128235780
Category : Science
Languages : en
Pages : 848
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Book Description
Epigenetics in Psychiatry, Second Edition covers all major areas of psychiatry in which extensive epigenetic research has been performed, fully encompassing a diverse and maturing field, including drug addiction, bipolar disorder, epidemiology, cognitive disorders, and the uses of putative epigenetic-based psychotropic drugs. Uniquely, each chapter correlates epigenetics with relevant advances across genomics, transcriptomics, and proteomics. The book acts as a catalyst for further research in this growing area of psychiatry. This new edition has been fully revised to address recent advances in epigenetic understanding of psychiatric disorders, evoking data consortia (e.g., CommonMind, ATAC-seq), single cell analysis, and epigenome-wide association studies to empower new research. The book also examines epigenetic effects of the microbiome on psychiatric disorders, and the use of neuroimaging in studying the role of epigenetic mechanisms of gene expression. Ongoing advances in epigenetic therapy are explored in-depth. Fully revised to discuss new areas of research across neuronal stem cells, cognitive disorders, and transgenerational epigenetics in psychiatric disease Relates broad advances in psychiatric epigenetics to a modern understanding of the genome, transcriptome, and proteins Catalyzes knowledge discovery in both basic epigenetic biology and epigenetic targets for drug discovery Provides guidance in research methods and protocols, as well how to employ data from consortia, single cell analysis, and epigenome-wide association studies (EWAS) Features chapter contributions from international leaders in the field
Author: Henry Horng-Shing Lu
Publisher: Springer Nature
ISBN: 3662659026
Category : Science
Languages : en
Pages : 406
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Book Description
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
Author: Ranjit S. Dhaliwal
Publisher: New Age International
ISBN: 9788122400946
Category : FORTRAN 77 (Computer program language)
Languages : en
Pages : 408
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Book Description
Fortran 77-A Structured Approach Provides In-Depth Coverage Of The Fortran 77 Features In A Simplified And Compact Form With Sufficient Illustrations. The Book Is Designed As A Text For A One-Semester Course In Fortran Language Programming For Students Enjoying In Any Subject Area. It Is Completely Self Contained And Can Therefore Be Used Without Additional Materials. Emphasis Is Placed On Fortran Programs Easy For A User To Learn. Those Additional Features Have Been Highlighted That Are Not Available With Older Versions Of Fortran. The Numerical And Practical Aspects Of Computing, Structured And Efficient Programming Style IsStressed Throughout.Ideal For Students With Limited Mathematical Backgrounds, The Book Provides Step By Step, Simple Example Programs To Give A User Valuablehands-On Experience In Such Areas As: * Specifying Different Data Types * Using Different Control Structures * Writing Simple Programs Using Format Free I/O Without The Trauma Of Formats * Passing Arguments Between A Program And A Subprogram Manipulating Character String And Logical Data Types. * Writing Simple As Well As Difficult Programs For Scientific, Engineering And Business Applications.The Basic Driving Force To Write This Book Is Due To The Need Felt By Many Of Our Colleagues For A Textbook Caring All Features Of Fortran 77. The Book Also Contains Advanced Applications Of Fortran 77 Which Can Be Easily Understood By Those Who Have Some Familiarity With Fortran. Due To These Features, This Book Is A Must For Everybody Using Fortran In Solving Their Problems. It Is An Ideal Text To Gain A Working Knowledge Of Fortran As Well As A Through Grounding In The Fundamentals Of Using Fortran 77 To Solve Complex Problems. The Book Has Been Written By People Who Have Acquired Both Academic And Industrial Experience In Using Fortran To Solve A Variety Of Problems.
