Algorithms for Next-Generation Sequencing Data

English, Mourad Elloumi, 2018
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Product details

The book "Algorithms for Next-Generation Sequencing Data" offers a comprehensive analysis of the latest developments in high-performance algorithms for NGS data. It includes 14 contributions that address key topics such as indexing, compression and storage, error correction, alignment, and assembly. The authors present both fundamental insights and technical information that are crucial for the processing and analysis of sequencing data. This specialized book is aimed at a wide audience, including researchers, practitioners, and students from the fields of bioinformatics, computer science, mathematics, statistics, and life sciences. It is a valuable resource for anyone dealing with the challenges and advancements in sequencing data analysis.

Key specifications

topic
Mathematics & Natural Sciences
Language
English
Author
Mourad Elloumi
Year
2018
Number of pages
355
Book cover
Paperback

General information

Item number
56051317
Publisher
Springer
Category
Reference books
Release date
11.3.2025

Book properties

topic
Mathematics & Natural Sciences
Language
English
Author
Mourad Elloumi
Year
2018
Number of pages
355
Book cover
Paperback

Voluntary climate contribution

CO₂ emissions
0.25 kg
Climate contribution
CHF 0.11

30-day right of return if unopened
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  • 1.Rheinwerk
    0 %
  • 1.S.Fischer
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How often is a product of this brand in the «Reference books» category returned?

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    1.1 %
  • 55.S.Fischer
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  • 55.Springer
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  • 55.Wiley VCH
    1.1 %
  • 61.Bertelsmann C.
    1.2 %
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