This is a sitemap over all available pages ordered by namespaces.
The most fundamental task in analyzing NGS data is read alignment or read mapping: determining the region of the genome from which the read was derived. This technique has a variety of applications for studying genome biology.
Efficient algorithms for read mapping and new applications of the technique are topics of intense research interest—many mapping tools already exist, and new ones are being developed and published as we speak. This review paper provides a pretty thorough overview of the topic: a definition of the read mapping problem, proposed approaches to solving that problem, and features of specific implementations (software tools). The authors also created a website, which they have maintained since the paper's publication, that provides a comprehensive list of read mapping software.
We will have a short reading quiz on the review paper in class on Wednesday January 28th, so please to class prepared to discuss the material.