Computational Exome and Genome Analysis

Exome and genome sequencing are revolutionizing medical research and diagnostics, but computational analysis of the data is challenging. Computational Exome and Genome Analysis provides a practical introduction to the field.

Format: Paperback / softback
Length: 557 pages
Publication date: 30 September 2020
Publisher: Taylor & Francis Ltd

The field of bioinformatics is undergoing a revolutionary transformation due to the advent of exome and genome sequencing technologies. These powerful tools have opened up new avenues for medical research and diagnostics, enabling researchers to gain a deeper insight into the genetic basis of various diseases. However, with the vast amount of data generated by these sequencing technologies, the computational analysis of this data has become an extremely heterogeneous and often challenging area.

In this comprehensive textbook, Computational Exome and Genome Analysis offers a practical introduction to all of the major areas in the field. It provides a thorough understanding of the sequencing process, from sample preparation to data analysis, and covers a wide range of computational techniques and tools used in the analysis of exome and genome data.

The book begins by providing an overview of the sequencing technologies and their applications in medical research. It then delves into the theoretical foundations of bioinformatics, including sequence alignment, gene expression analysis, and genotyping. The authors then discuss the computational challenges associated with exome and genome sequencing, such as data storage, processing, and analysis.

To address these challenges, the book provides detailed explanations of various computational methods and tools used in exome and genome analysis. These methods include sequence alignment algorithms, such as BLAST and MUSCLE, as well as tools for gene expression analysis, such as RNASeq and microarray analysis. The authors also discuss the use of bioinformatics databases, such as GenBank and Ensembl, and the importance of data visualization in understanding the results of computational analysis.

Throughout the book, real-world examples and case studies are used to illustrate the practical applications of exome and genome sequencing in medical research. These examples cover a wide range of diseases, including cancer, genetic disorders, and infectious diseases, and demonstrate how computational analysis can help identify novel genetic mutations and predict disease outcomes.

In conclusion, Computational Exome and Genome Analysis is an essential textbook for anyone interested in the field of bioinformatics. It provides a comprehensive and practical introduction to all of the major areas in the field, enabling readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline. With its clear and concise writing style, the book is accessible to students, researchers, and practitioners alike, and will be an invaluable resource for anyone working with exome and genome data.

The field of bioinformatics is undergoing a revolutionary transformation due to the advent of exome and genome sequencing technologies. These powerful tools have opened up new avenues for medical research and diagnostics, enabling researchers to gain a deeper insight into the genetic basis of various diseases. However, with the vast amount of data generated by these sequencing technologies, the computational analysis of this data has become an extremely heterogeneous and often challenging area.

In this comprehensive textbook, Computational Exome and Genome Analysis offers a practical introduction to all of the major areas in the field. It provides a thorough understanding of the sequencing process, from sample preparation to data analysis, and covers a wide range of computational techniques and tools used in the analysis of exome and genome data.

The book begins by providing an overview of the sequencing technologies and their applications in medical research. It then delves into the theoretical foundations of bioinformatics, including sequence alignment, gene expression analysis, and genotyping. The authors then discuss the computational challenges associated with exome and genome sequencing, such as data storage, processing, and analysis.

To address these challenges, the book provides detailed explanations of various computational methods and tools used in exome and genome analysis. These methods include sequence alignment algorithms, such as BLAST and MUSCLE, as well as tools for gene expression analysis, such as RNASeq and microarray analysis. The authors also discuss the use of bioinformatics databases, such as GenBank and Ensembl, and the importance of data visualization in understanding the results of computational analysis.

Throughout the book, real-world examples and case studies are used to illustrate the practical applications of exome and genome sequencing in medical research. These examples cover a wide range of diseases, including cancer, genetic disorders, and infectious diseases, and demonstrate how computational analysis can help identify novel genetic mutations and predict disease outcomes.

In conclusion, Computational Exome and Genome Analysis is an essential textbook for anyone interested in the field of bioinformatics. It provides a comprehensive and practical introduction to all of the major areas in the field, enabling readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline. With its clear and concise writing style, the book is accessible to students, researchers, and practitioners alike, and will be an invaluable resource for anyone working with exome and genome data.

Weight: 954g
Dimension: 157 x 235 x 26 (mm)
ISBN-13: 9780367657741