Algorithms for Next-Generation Sequencing
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?
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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.
Algorithms for Next-Generation Sequencing
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.
115.0
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5
1
Algorithms for Next-Generation Sequencing
364
Algorithms for Next-Generation Sequencing
364
115.0
Out Of Stock
Product Details
| ISBN-13: | 9781466565500 |
|---|---|
| Publisher: | Taylor & Francis |
| Publication date: | 05/24/2017 |
| Series: | Chapman & Hall/CRC Computational Biology Series |
| Pages: | 364 |
| Product dimensions: | 6.12(w) x 9.19(h) x (d) |
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