Algorithms for Next-Generation Sequencing

✍ Scribed by Wing-Kin Sung

• Publisher: CRC Press
• Year: 2017
• Tongue: English
• Leaves: 362
• Series: Chapman & Hall/CRC Mathematical and Computational Biology
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Subjects

Algorithms; Data Structures; Bioinformatics; DNA; RNA; Next-Generation Sequence Data; Genome; DNA Sequencing; Compression Algorithms