Algorithms for Next-Generation Sequencing Data
Techniques, Approaches, and Applications
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Beschreibung
The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly.
The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.
The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly.
The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.
First consolidated description of techniques and applications Key technology will help to decode life's mysteries, detect pathogens, make better crops, and improve quality of life Valuable for researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences
Autor*in
Mourad Elloumi
Themen in »Algorithms for Next-Generation Sequencing Data«
Bioinformatics Computational Molecular Biology Computational Systems Biology DNA Sequencing Molecular Biology Motifs Next-Generation Sequencing (NGS) Single Nucleotide Polymorphism (SNP) Variant Detection algorithm analysis and problem complexity