Bioinformatics
A Practical Guide to Next Generation Sequencing Data Analysis
1st Edition
Published on 29. June 2023
348 pages
978-1-000-86167-9 (ISBN)
Description
This book contains the latest material in the subject, covering next generation sequencing (NGS) applications and meeting the requirements of a complete semester course. This book digs deep into analysis, providing both concept and practice to satisfy the exact need of researchers seeking to understand and use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics. The book does not introduce the analysis pipelines in a black box, but with detailed analysis steps to provide readers with the scientific and technical backgrounds required to enable them to conduct analysis with confidence and understanding. The book is primarily designed as a companion for researchers and graduate students using sequencing data analysis but will also serve as a textbook for teachers and students in biology and bioscience.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
16 Tables, black and white; 73 Halftones, color; 96 Halftones, black and white; 73 Illustrations, color; 96 Illustrations, black and white
ISBN-13
978-1-000-86167-9 (9781000861679)
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
Book
06/2023
1st Edition
Chapman & Hall/CRC
€141.10
Shipment within 10-20 days
Book
06/2023
1st Edition
Chapman & Hall/CRC
€237.68
Shipment within 10-20 days
Person
Hamid D. Ismail received his M.Sc. and Ph.D. in computational science from North Carolina Agricultural and Technical State University (NC A&T), USA, and DVM and B.Sc. from the University of Khartoum, Sudan. He earned several professional certifications including SAS Advanced Programmer and SQL Expert Programmer. Currently he works as a post-doc scholar at Michigan Technological University and adjunct professor of Data Science and Bioinformatics at NC A&T State University. Hamid is a bioinformatician, biologist, data scientist, statistician, and machine learning specialist. He contributed widely to the field of bioinformatics by developing bioinformatics tools and methods for applications of machine learning on genomic data.
Content
1. Sequencing and Raw Sequence Data Quality Control. 2. Mapping of Sequence Reads to the Reference Genomes. 3. De Novo Genome Assembly. 4. Variant Discovery. 5. RNA-Seq Data Analysis. 6. Chromatin Immunoprecipitation Sequencing. 7. Targeted Gene Metagenomic Data Analysis. 8. Shotgun Metagenomic Data Analysis.
