Ebook: Algorithms for Next-Generation Sequencing
Author: Wing-Kin Sung
- Genre: Biology // Molecular: Bioinformatics
- Tags: Algorithms, Data Structures, Bioinformatics, DNA, RNA, Next-Generation Sequence Data, Genome, DNA Sequencing, Compression Algorithms
- Series: Chapman & Hall/CRC Mathematical and Computational Biology
- Year: 2017
- Publisher: CRC Press
- City: Boca Raton, FL
- Edition: 1
- Language: English
- pdf
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.
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.
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