Algorithms for Next-Generation Sequencing Data [electronic resource] : Techniques, Approaches, and Applications / edited by Mourad Elloumi.
Вид матеріалу:
Текст Публікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: XIII, 355 p. 108 illus., 3 illus. in color. online resourceТип вмісту: - text
- computer
- online resource
- 9783319598260
- 570.285 23
- QH324.2-324.25
ЕКнига
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Springer Ebooks (till 2020 - Open Access)+(2017 Network Access))
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Springer Ebooks (2017 Network Access))
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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