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.
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