Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Computational Biology Series)

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Published date May 24, 2017
Author Wing-Kin Sung

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Description

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?

Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.

Specifications

FormatEPUB, PDF
Pages350
LanguageEnglish
ISBN-13978-1466565500

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Reviews

4.6
5★84%4★11%3★3%2★1%1★1%
G Garrett Ochoa Verified
★★★★★The diagrams do the teachingSeeing the concept drawn before the notation appears changed everything for me.
W William Davidson Verified
★★★★★A set text for my classThe problem sets are graded properly and the solutions are complete.
C Christine Erickson Verified
★★★★★
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