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Bioinformatics: A Practical Guide to Next Generation Sequencing Data Analysis: Chapman & Hall/CRC Computational Biology Series

Autor Hamid D. Ismail
en Limba Engleză Hardback – 29 iun 2023
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.
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Specificații

ISBN-13: 9781032409009
ISBN-10: 1032409002
Pagini: 348
Ilustrații: 16 Tables, black and white; 73 Halftones, color; 96 Halftones, black and white; 73 Illustrations, color; 96 Illustrations, black and white
Dimensiuni: 178 x 254 mm
Greutate: 0.8 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computational Biology Series


Public țintă

Postgraduate, Professional, and Undergraduate Advanced

Notă biografică

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.

Cuprins

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.

Descriere

This book contains the latest material in the subject, covering NGS applications and meeting the requirements of a complete semester course. This book provides both concept and practice to satisfy the exact need of researchers seeking to use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics.

Recenzii

Bioinformatics is a necessary text that will help researchers/students gain background knowledge and understand the usage of NCBI databases. It is well suited for audiences who do not have a bioinformatics background as it defines what genomic data is and the fundamentals of the sequence alignment. It also thoroughly explains how to use NCBI tools to retrieve the researchers' genomic data of interest.
-- Roshonda Jones, Senior Bioinformatics Scientist, Nom Nom