Algorithms for Next-Generation Sequencing Data: Techniques, Approaches, and ApplicationsКНИГИ » ПРОГРАММИНГ
Название: Algorithms for Next-Generation Sequencing data: Techniques, Approaches, and Applications Автор: Mourad Elloumi Издательство: Springer Год: 2017 Страниц: 355 Формат: PDF, EPUB Размер: 10 Mb Язык: English
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.
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Algorithms for Next-Generation Sequencing Data: Techniques, Approaches, and Applications 
