title: An overview of the analysis of next generation sequencing data.
abstract: Next generation sequencing is a common and versatile tool for biological and medical research. We describe the basic steps for analyzing next generation sequencing data, including quality checking and mapping to a reference genome. We also explain the further data analysis for three common applications of next generation sequencing: variant detection, RNA-seq, and ChIP-seq.
authors: Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, Berlin, Germany. andreas.doering@mdc-berlin.de
authors: Andreas
authors: A
authors: Gogol-Döring
authors: Wei
authors: W
authors: Chen
mesh_terms: D000818:Animals; D047369:Chromatin Immunoprecipitation; D019295:Computational Biology / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D017423:Sequence Analysis, RNA / Q000379:methods