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

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.

近年來，测序技術的進步使科學家能夠以比以往更深入且更大規模的方式研究人類基因組 - 在短短幾天內產生數億個短序列。但是，如何處理這樣大量的數據是一個重要問題。

《下一代测序算法》是一本對於生物信息學和計算生物學的學生和研究人員來說非常寶貴的工具，也適用於生物學家處理和管理下一代测序生成的數據，以及作為教材或自學資源。除了詳細描述處理测序數據的算法外，它還提供了有關該技術應用的實用案例研究。