| Title | : | Algorithms for Next-Generation Sequencing Data |
|---|---|---|
| Author | : | Mourad Elloumi |
| Release | : | 2017-09-18 |
| Kind | : | ebook |
| Genre | : | Biology, Books, Science & Nature, Mathematics, Computers & Internet, Programming |
| Size | : | 5347662 |
| 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. |
