Hamid D. Ismail – författare & böcker

Bioinformatics

A Practical Guide to NCBI Databases and Sequence Alignments

E-bok

PDF, Engelska, 2022

838 kr

Läs direkt efter köp

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations.

Key Features

Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples. Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST. The companion website (http://www.hamiddi.com/instructors/) contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students.

This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics

A Practical Guide to NCBI Databases and Sequence Alignments

AvHamid D. Ismail

E-bok

Engelska, 2022

838 kr

Läs direkt efter köp

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations.

Key Features

Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples. Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST. The companion website (http://www.hamiddi.com/instructors/) contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students.

This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics

A Practical Guide to Next Generation Sequencing Data Analysis

AvHamid D. Ismail

E-bok

PDF, Engelska, 2023

1 475 kr

Läs direkt efter köp

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.

Bioinformatics

A Practical Guide to Next Generation Sequencing Data Analysis

AvHamid D. Ismail

E-bok

Engelska, 2023

1 475 kr

Läs direkt efter köp

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.

Bioinformatics

A Practical Guide to NCBI Databases and Sequence Alignments

AvHamid D. Ismail

Inbunden, Engelska, 2022

1 461 kr

Skickas inom 10-15 vardagar

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations.Key FeaturesProvides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples.Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST.The companion website (http://www.hamiddi.com/instructors/) contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students.This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics

A Practical Guide to NCBI Databases and Sequence Alignments

AvHamid D. Ismail

Häftad, Engelska, 2025

706 kr

Skickas inom 10-15 vardagar

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations.Key FeaturesProvides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples.Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST.The companion website (http://www.hamiddi.com/instructors/) contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students.This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics

A Practical Guide to Next Generation Sequencing Data Analysis

AvHamid D. Ismail

Häftad, Engelska, 2023

1 411 kr

Skickas inom 10-15 vardagar

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.

Bioinformatics

A Practical Guide to Next Generation Sequencing Data Analysis

AvHamid D. Ismail

Inbunden, Engelska, 2023

2 412 kr

Skickas inom 10-15 vardagar

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.

Bioinformatics of Autoimmune Diseases

AvHamid D. Ismail

E-bok

PDF, Engelska, 2026

1 520 kr

Läs direkt efter köp

Autoimmune diseases arise when the immune system misidentifies the body's own tissues as threats, a catastrophic failure of self-recognition that leads to chronic inflammation, tissue damage, and long-term disability. Bioinformatics of Autoimmune Diseases is a timely and comprehensive guide that explores not only the immunological basis of these disorders but also the cutting-edge bioinformatics approaches used to analyze the genomic, transcriptomic, and epigenomic data driving modern discovery.Structured to bridge foundational immunology with advanced computational analysis, this book offers readers a progression from the molecular mechanisms of immune function and dysfunction to the bioinformatics pipelines used to investigate them. Early chapters provide a thorough grounding in immune cell biology, immune checkpoints, and disease pathogenesis. Subsequent chapters guide readers through practical analyses of autoimmune disease data, covering RNA-Seq, variant analysis, microbiome profiling, ATAC-Seq, ChIP-Seq, single-cell sequencing, and gene therapy and autoimmune diseases. Bioinformatics tools are introduced using Python with step-by-step workflows, enabling hands-on engagement with real datasets.Written by a professor of bioinformatics and developer of bioinformatics tools, the book draws from over a decade of broad experience in computational biology. With detailed illustrations, curated datasets, and a clear emphasis on reproducibility, it serves as a foundational resource for graduate students, clinicians, biomedical researchers, and anyone seeking to decode the bioinformatics foundations and mechanisms driving autoimmune disease.

Bioinformatics of Autoimmune Diseases

AvHamid D. Ismail

E-bok

Engelska, 2026

1 520 kr

Läs direkt efter köp

Autoimmune diseases arise when the immune system misidentifies the body's own tissues as threats, a catastrophic failure of self-recognition that leads to chronic inflammation, tissue damage, and long-term disability. Bioinformatics of Autoimmune Diseases is a timely and comprehensive guide that explores not only the immunological basis of these disorders but also the cutting-edge bioinformatics approaches used to analyze the genomic, transcriptomic, and epigenomic data driving modern discovery.Structured to bridge foundational immunology with advanced computational analysis, this book offers readers a progression from the molecular mechanisms of immune function and dysfunction to the bioinformatics pipelines used to investigate them. Early chapters provide a thorough grounding in immune cell biology, immune checkpoints, and disease pathogenesis. Subsequent chapters guide readers through practical analyses of autoimmune disease data, covering RNA-Seq, variant analysis, microbiome profiling, ATAC-Seq, ChIP-Seq, single-cell sequencing, and gene therapy and autoimmune diseases. Bioinformatics tools are introduced using Python with step-by-step workflows, enabling hands-on engagement with real datasets.Written by a professor of bioinformatics and developer of bioinformatics tools, the book draws from over a decade of broad experience in computational biology. With detailed illustrations, curated datasets, and a clear emphasis on reproducibility, it serves as a foundational resource for graduate students, clinicians, biomedical researchers, and anyone seeking to decode the bioinformatics foundations and mechanisms driving autoimmune disease.

Bioinformatics of Autoimmune Diseases

AvHamid D. Ismail

Inbunden, Engelska, 2026

3 392 kr

Skickas inom 10-15 vardagar

Autoimmune diseases arise when the immune system misidentifies the body’s own tissues as threats, a catastrophic failure of self-recognition that leads to chronic inflammation, tissue damage, and long-term disability. Bioinformatics of Autoimmune Diseases is a timely and comprehensive guide that explores not only the immunological basis of these disorders but also the cutting-edge bioinformatics approaches used to analyze the genomic, transcriptomic, and epigenomic data driving modern discovery.Structured to bridge foundational immunology with advanced computational analysis, this book offers readers a progression from the molecular mechanisms of immune function and dysfunction to the bioinformatics pipelines used to investigate them. Early chapters provide a thorough grounding in immune cell biology, immune checkpoints, and disease pathogenesis. Subsequent chapters guide readers through practical analyses of autoimmune disease data, covering RNA-Seq, variant analysis, microbiome profiling, ATAC-Seq, ChIP-Seq, single-cell sequencing, and gene therapy and autoimmune diseases. Bioinformatics tools are introduced using Python with step-by-step workflows, enabling hands-on engagement with real datasets.Written by a professor of bioinformatics and developer of bioinformatics tools, the book draws from over a decade of broad experience in computational biology. With detailed illustrations, curated datasets, and a clear emphasis on reproducibility, it serves as a foundational resource for graduate students, clinicians, biomedical researchers, and anyone seeking to decode the bioinformatics foundations and mechanisms driving autoimmune disease.

Bioinformatics of Autoimmune Diseases

AvHamid D. Ismail

Häftad, Engelska, 2026

1 275 kr

Skickas inom 10-15 vardagar

Autoimmune diseases arise when the immune system misidentifies the body’s own tissues as threats, a catastrophic failure of self-recognition that leads to chronic inflammation, tissue damage, and long-term disability. Bioinformatics of Autoimmune Diseases is a timely and comprehensive guide that explores not only the immunological basis of these disorders but also the cutting-edge bioinformatics approaches used to analyze the genomic, transcriptomic, and epigenomic data driving modern discovery.Structured to bridge foundational immunology with advanced computational analysis, this book offers readers a progression from the molecular mechanisms of immune function and dysfunction to the bioinformatics pipelines used to investigate them. Early chapters provide a thorough grounding in immune cell biology, immune checkpoints, and disease pathogenesis. Subsequent chapters guide readers through practical analyses of autoimmune disease data, covering RNA-Seq, variant analysis, microbiome profiling, ATAC-Seq, ChIP-Seq, single-cell sequencing, and gene therapy and autoimmune diseases. Bioinformatics tools are introduced using Python with step-by-step workflows, enabling hands-on engagement with real datasets.Written by a professor of bioinformatics and developer of bioinformatics tools, the book draws from over a decade of broad experience in computational biology. With detailed illustrations, curated datasets, and a clear emphasis on reproducibility, it serves as a foundational resource for graduate students, clinicians, biomedical researchers, and anyone seeking to decode the bioinformatics foundations and mechanisms driving autoimmune disease.

Quantum Machine Learning

Theory, Algorithms, and Practical Implementation

AvHamid D. Ismail

Häftad, Engelska, 2026

1 161 kr

Kommande

Quantum machine learning has emerged as a rapidly developing field at the intersection of quantum computing, artificial intelligence, and data science. As quantum hardware and algorithms continue to advance, there is a growing need for a rigorous and accessible text that explains how quantum principles can be used to design, analyze, and implement machine learning models. This book is intended for graduate students, researchers, and practitioners in computer science, physics, engineering, mathematics, and related disciplines.The book provides a comprehensive introduction to the foundations and modern methods of quantum machine learning. It begins with the principles of quantum information, Hilbert spaces, quantum circuits, and quantum algorithms relevant to learning tasks, and then develops the major paradigms of the field, including quantum data encoding, quantum feature maps and kernels, variational quantum circuits, quantum neural networks, quantum generative models, quantum reinforcement learning, quantum transfer learning, and quantum linear algebra techniques. The text emphasizes both theory and implementation, with programming examples and computational workflows using Qiskit, PennyLane, TensorFlow Quantum, and PyTorch. Additional chapters address tensor-network-inspired learning, error mitigation, GPU-accelerated simulation, benchmarking, hybrid quantum-classical architectures, and applications in chemistry, genomics, finance, optimization, and natural language processing.Distinctive in both scope and organization, the book integrates mathematical foundations, algorithmic development, software implementation, and emerging research directions within a single coherent framework, making it suitable both as a graduate-level textbook and as a practical reference for researchers working in quantum machine learning.

Quantum Machine Learning

Theory, Algorithms, and Practical Implementation

AvHamid D. Ismail

Inbunden, Engelska, 2026

2 551 kr

Kommande

Quantum machine learning has emerged as a rapidly developing field at the intersection of quantum computing, artificial intelligence, and data science. As quantum hardware and algorithms continue to advance, there is a growing need for a rigorous and accessible text that explains how quantum principles can be used to design, analyze, and implement machine learning models. This book is intended for graduate students, researchers, and practitioners in computer science, physics, engineering, mathematics, and related disciplines.The book provides a comprehensive introduction to the foundations and modern methods of quantum machine learning. It begins with the principles of quantum information, Hilbert spaces, quantum circuits, and quantum algorithms relevant to learning tasks, and then develops the major paradigms of the field, including quantum data encoding, quantum feature maps and kernels, variational quantum circuits, quantum neural networks, quantum generative models, quantum reinforcement learning, quantum transfer learning, and quantum linear algebra techniques. The text emphasizes both theory and implementation, with programming examples and computational workflows using Qiskit, PennyLane, TensorFlow Quantum, and PyTorch. Additional chapters address tensor-network-inspired learning, error mitigation, GPU-accelerated simulation, benchmarking, hybrid quantum-classical architectures, and applications in chemistry, genomics, finance, optimization, and natural language processing.Distinctive in both scope and organization, the book integrates mathematical foundations, algorithmic development, software implementation, and emerging research directions within a single coherent framework, making it suitable both as a graduate-level textbook and as a practical reference for researchers working in quantum machine learning.

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Hamid D. Ismail – författare

Bioinformatics

Bioinformatics

Bioinformatics

Bioinformatics

Bioinformatics

Bioinformatics

Bioinformatics

Bioinformatics

Bioinformatics of Autoimmune Diseases

Bioinformatics of Autoimmune Diseases

Bioinformatics of Autoimmune Diseases

Bioinformatics of Autoimmune Diseases

Quantum Machine Learning

Quantum Machine Learning

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