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.
Algorithms for Next-Generation Sequencing Data Techniques, Approaches, and Applications
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Publisher: Springer
ISBN: 9783319598246
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