Gogol-Döring Andreas, Chen Wei
Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, Berlin, Germany.
Methods Mol Biol. 2012;802:249-57. doi: 10.1007/978-1-61779-400-1_16.
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.
下一代测序是生物和医学研究中常用且通用的工具。我们描述了分析下一代测序数据的基本步骤,包括质量检查和与参考基因组的比对。我们还解释了针对下一代测序的三种常见应用的进一步数据分析:变异检测、RNA测序和染色质免疫沉淀测序。