Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing Studies

Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing Studies PDF Author: Sheng Yang
Publisher: Frontiers Media SA
ISBN: 2889714675
Category : Science
Languages : en
Pages : 113

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Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing Studies

Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing Studies PDF Author: Sheng Yang
Publisher: Frontiers Media SA
ISBN: 2889714675
Category : Science
Languages : en
Pages : 113

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Book Description


Multimodal and Integrative Analysis of Single-Cell or Bulk Sequencing Data

Multimodal and Integrative Analysis of Single-Cell or Bulk Sequencing Data PDF Author: Geng Chen
Publisher: Frontiers Media SA
ISBN: 2889666689
Category : Science
Languages : en
Pages : 116

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Design, Analysis, and Interpretation of Genome-Wide Association Scans

Design, Analysis, and Interpretation of Genome-Wide Association Scans PDF Author: Daniel O. Stram
Publisher: Springer Science & Business Media
ISBN: 1461494435
Category : Medical
Languages : en
Pages : 344

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Book Description
This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to give statisticians, epidemiologists, and students in these fields the tools to design a powerful genome-wide study based on current technology. The other part of this is showing readers how to conduct analysis of the created study. Design and Analysis of Genome-Wide Association Studies provides a compendium of well-established statistical methods based upon single SNP associations. It also provides an introduction to more advanced statistical methods and issues. Knowing that technology, for instance large scale SNP arrays, is quickly changing, this text has significant lessons for future use with sequencing data. Emphasis on statistical concepts that apply to the problem of finding disease associations irrespective of the technology ensures its future applications. The author includes current bioinformatics tools while outlining the tools that will be required for use with extensive databases from future large scale sequencing projects. The author includes current bioinformatics tools while outlining additional issues and needs arising from the extensive databases from future large scale sequencing projects.

Integrative Methods for the Analysis of Genome Wide Association Studies

Integrative Methods for the Analysis of Genome Wide Association Studies PDF Author: Marc Andreas Schaub
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Genome Wide Association Studies (GWAS) have identified over 4,500 common variants in the human genome that are statistically associated with diseases and other phenotypical traits. Most identified associations, however, only have a small effect on disease risk, and their relevance in a clinical setting remains the subject of extensive debate. In this thesis I present three integrative analysis directions that extend on GWAS by developing new methods, by using genotyping data to ask new questions, and by integrating additional types of data to generate functional hypotheses about the biological processes underlying associations. First, I introduce a new classifier-based methodology that identifies similarities in the genetic architecture of diseases. This method can successfully identify both known and novel relationships between common diseases. Second, I show how control individuals from a GWAS can be used to detect genetic differences between the pseudoautosomal regions of chromosomes X and Y in the general population. Finally, I present an approach that integrates experimental data generated by the ENCODE consortium in order to identify functional Single Nucleotide Polymorphisms (SNPs). These functional SNPs are associated with a phenotype, either directly or through linkage disequilibrium, and overlap a functional region of the genome such as a transcribed region or a transcription factor binding site. Up to 80% of all associations previously reported in a GWAS can be mapped to a functional SNP.

Integrative analysis of single-cell and/or bulk multi-omics sequencing data

Integrative analysis of single-cell and/or bulk multi-omics sequencing data PDF Author: Geng Chen
Publisher: Frontiers Media SA
ISBN: 2832513328
Category : Science
Languages : en
Pages : 189

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Book Description


Genome-Wide Association Studies

Genome-Wide Association Studies PDF 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.

Statistical Methods, Computing, and Resources for Genome-Wide Association Studies

Statistical Methods, Computing, and Resources for Genome-Wide Association Studies PDF Author: Riyan Cheng
Publisher: Frontiers Media SA
ISBN: 2889712125
Category : Science
Languages : en
Pages : 148

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Methods in Statistical Genomics

Methods in Statistical Genomics PDF Author: Philip Chester Cooley
Publisher: RTI Press
ISBN: 1934831166
Category : Medical
Languages : en
Pages : 163

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Book Description
The objective of this book is to describe procedures for analyzing genome-wide association studies (GWAS). Some of the material is unpublished and contains commentary and unpublished research; other chapters (Chapters 4 through 7) have been published in other journals. Each previously published chapter investigates a different genomics model, but all focus on identifying the strengths and limitations of various statistical procedures that have been applied to different GWAS scenarios.

Computational Methods for Single-Cell Data Analysis

Computational Methods for Single-Cell Data Analysis PDF Author: Guo-Cheng Yuan
Publisher: Humana Press
ISBN: 9781493990566
Category : Science
Languages : en
Pages : 271

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Book Description
This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.

Genetic Dissection of Complex Traits

Genetic Dissection of Complex Traits PDF Author: D.C. Rao
Publisher: Academic Press
ISBN: 0080569110
Category : Medical
Languages : en
Pages : 788

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Book Description
The field of genetics is rapidly evolving and new medical breakthroughs are occuring as a result of advances in knowledge of genetics. This series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines. Five sections on the latest advances in complex traits Methods for testing with ethical, legal, and social implications Hot topics include discussions on systems biology approach to drug discovery; using comparative genomics for detecting human disease genes; computationally intensive challenges, and more