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02075nam a22004695i 4500 |
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978-3-319-59826-0 |
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170918s2017 gw | s |||| 0|eng d |
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|a 9783319598260
|9 978-3-319-59826-0
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|a 10.1007/978-3-319-59826-0
|2 doi
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|d GrThAP
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|a QH324.2-324.25
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|a PSA
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|a COM014000
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|a 570.285
|2 23
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|a Algorithms for Next-Generation Sequencing Data
|h [electronic resource] :
|b Techniques, Approaches, and Applications /
|c edited by Mourad Elloumi.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIII, 355 p. 108 illus., 3 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
|b PDF
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|a 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.
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|a Computer science.
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|a Algorithms.
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|a Bioinformatics.
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|a Biomathematics.
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|a Computer Science.
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|a Computational Biology/Bioinformatics.
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|a Mathematical and Computational Biology.
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|a Bioinformatics.
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650 |
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|a Algorithm Analysis and Problem Complexity.
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|a Elloumi, Mourad.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319598246
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|u http://dx.doi.org/10.1007/978-3-319-59826-0
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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