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Algorithms for Next-Generation Sequencing Data

Overview of attention for book
Attention for Chapter 13: An Efficient Approach to Merging Paired-End Reads and Incorporation of Uncertainties
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Chapter title
An Efficient Approach to Merging Paired-End Reads and Incorporation of Uncertainties
Chapter number 13
Book title
Algorithms for Next-Generation Sequencing Data
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-59826-0_13
Book ISBNs
978-3-31-959824-6, 978-3-31-959826-0
Authors

Tomáš Flouri, Jiajie Zhang, Lucas Czech, Kassian Kobert, Alexandros Stamatakis

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 2 67%