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.