Algorithms for Next-Generation Sequencing Data - Info and Reading Options
Techniques, Approaches, and Applications
By Mourad Elloumi
"Algorithms for Next-Generation Sequencing Data" is published by Springer in Sep 19, 2017 - Cham and it has 355 pages.
“Algorithms for Next-Generation Sequencing Data” Metadata:
- Title: ➤ Algorithms for Next-Generation Sequencing Data
- Author: Mourad Elloumi
- Number of Pages: 355
- Publisher: Springer
- Publish Date: Sep 19, 2017
- Publish Location: Cham
“Algorithms for Next-Generation Sequencing Data” Subjects and Themes:
- Subjects: Nucleotides - Algorithms
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL28195139M - OL20826910W
- ISBN-13: 9783319598246 - 9783319598260
- ISBN-10: 3319598244
- All ISBNs: 3319598244 - 9783319598246 - 9783319598260
AI-generated Review of “Algorithms for Next-Generation Sequencing Data”:
"Algorithms for Next-Generation Sequencing Data" Description:
Open Data:
"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."
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