Algorithms for Next-Generation Sequencing Data : Techniques, Approaches, and Applications / [electronic resource] : / edited by Mourad Elloumi.. — 1st ed. 2017.. — XIII, 355 p. 108 illus., 3 illus. in color. : online resource.

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Анотація:
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.

ISBN: 9783319598260

Standard No.: 10.1007/978-3-319-59826-0 doi

Subjects--Topical Terms:
Bioinformatics.
Biomathematics.
Algorithms.
Computational Biology/Bioinformatics.
Mathematical and Computational Biology.
Bioinformatics.
Algorithm Analysis and Problem Complexity.

LC Class. No.: QH324.2-324.25

Dewey Class. No.: 570.285