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.
Details Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Mathematical and Computational Biology)
|Title||Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Mathematical and Computational Biology)|
|Release Date||11th May 2017|
|Publisher||Chapman and Hall/CRC|