Bioinformatics Methods
From Omics to Next Generation Sequencing
1st Edition
Published on 16. September 2022
Book
Hardback
336 pages
978-1-4987-6515-2 (ISBN)
Description
The past three decades have witnessed an explosion of what is now referred to as high-dimensional `omics' data. Bioinformatics Methods: From Omics to Next Generation Sequencing describes the statistical methods and analytic frameworks that are best equipped to interpret these complex data and how they apply to health-related research. Covering the technologies that generate data, subtleties of various data types, and statistical underpinnings of methods, this book identifies a suite of potential analytic tools, and highlights commonalities among statistical methods that have been developed.
An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies.
Key Features:
Survey of a variety of omics data types and their unique features
Summary of statistical underpinnings for widely used omics data analysis methods
Description of software resources for performing omics data analyses
An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies.
Key Features:
Survey of a variety of omics data types and their unique features
Summary of statistical underpinnings for widely used omics data analysis methods
Description of software resources for performing omics data analyses
Reviews / Votes
"In conclusion, "Bioinformatics Methods: FromOmics to Next Generation Sequencing" is an essential reference for researchers, students, and professionals in the broad field of biomedicine who are interested in the biostatistics and bioinformatics aspects of omics. Its comprehensive coverage, clear explanations, practical applications, and incorporation of the latest advancements make it an invaluable resource. By empowering readers with the knowledge and tools to navigate the complexities of biological data, this book paves the way for groundbreaking discoveries and advancements in the realm of life sciences."Yu-Chiao Chiu, Cancer Therapeutics Program, University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA, Biometrics.
More details
Series
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
37 farbige Abbildungen, 37 farbige Zeichnungen, 21 farbige Tabellen
21 Tables, color; 37 Line drawings, color; 37 Illustrations, color
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
693 gr
ISBN-13
978-1-4987-6515-2 (9781498765152)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Shili Lin | Denise Scholtens | Sujay Datta
Bioinformatics Methods
From Omics to Next Generation Sequencing
E-Book
09/2022
1st Edition
Chapman & Hall/CRC
€73.99
Available for download
Shili Lin | Denise Scholtens | Sujay Datta
Bioinformatics Methods
From Omics to Next Generation Sequencing
E-Book
09/2022
1st Edition
Chapman & Hall/CRC
€73.99
Available for download
Persons
Shili Lin, PhD is a Professor in the Department of Statistics and a faculty member in the Translational Data Analytics Institute at the Ohio State University. Her research interests are in statistical methodologies for high-dimensional and big data, with a focus on their applications in biomedical research, statistical genetics and genomics, and integration of multiple omics data.
Denise Scholtens, PhD is Professor and Chief of the Division of Biostatistics in the Department of Preventive Medicine at Northwestern University Feinberg School of Medicine. She is interested in the design and conduct of large-scale multi-center prospective health research studies, and in the integration of high-dimensional omics data analyses into these settings.
Sujay Datta, PhD is an Associate Professor and the Graduate Program Coordinator in the Department of Statistics at the University of Akron. His research interests include statistical analyses of high-dimensional and high-throughput data, graphical and network-based models, statistical models and methods for cancer data, as well as sequential/multistage sampling designs.
Denise Scholtens, PhD is Professor and Chief of the Division of Biostatistics in the Department of Preventive Medicine at Northwestern University Feinberg School of Medicine. She is interested in the design and conduct of large-scale multi-center prospective health research studies, and in the integration of high-dimensional omics data analyses into these settings.
Sujay Datta, PhD is an Associate Professor and the Graduate Program Coordinator in the Department of Statistics at the University of Akron. His research interests include statistical analyses of high-dimensional and high-throughput data, graphical and network-based models, statistical models and methods for cancer data, as well as sequential/multistage sampling designs.
Content
1 The Biology of a Living Organism 2 Protein-Protein Interactions 3 Protein-Protein Interaction Network Analyses 4 Detection of Imprinting and Maternal Effects 5 Modelling and Analysis of Next-Generation Sequencing Data 6 Sequencing-Based DNA Methylation Data 7 Modelling and Analysis of Spatial Chromatin Interactions 8 Digital Improvement of Single Cell Hi-C Data 9 Metabolomics Data Pre-processing 10 Metabolomics Data Analysis 11 Appendix