Bioinformatics

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A01=Hamid D. Ismail
assembly
Author_Hamid D. Ismail
BAM File
Bam Files
biological data interpretation
Category=PSAX
ChIP
ChIP Seq Data
ChIP-seq
computational biology methods
De Bruijn Graph
de novo
De Novo Assembly
discovery
epigenetics
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
FASTQ Files
gene
genome
Genome Assembly
genomics
graduate level bioscience
Hamiltonian Path
Human Reference Genome
Meme Suite
metagenomics
NCBI SRA
Paired End Reads
practical next generation sequencing analysis
profiling
QIIME2
quality control bioinformatics
Reference Genome
Representative Sequences
reprocessing
RNA
RNA Seq Data
RNA Seq Data Analysis
RNA Seq Read
RNA-seq
SA
SAM File
Samtools View
Sequence Length Distribution
sequence read alignment
sequencing data analysis
shotgun
Suffix Tree
TSS Region
Unmapped Reads
variant
VCF File

Product details

  • ISBN 9781032409009
  • Weight: 1800g
  • Dimensions: 178 x 254mm
  • Publication Date: 29 Jun 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.

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