British Columbia Cancer Agency, Genome Sciences Centre, Vancouver, Canada.
Nat Methods. 2010 Mar;7(3 Suppl):S5-S15. doi: 10.1038/nmeth.1422. Epub 2010 Feb 25.
As our ability to generate sequencing data continues to increase, data analysis is replacing data generation as the rate-limiting step in genomics studies. Here we provide a guide to genomic data visualization tools that facilitate analysis tasks by enabling researchers to explore, interpret and manipulate their data, and in some cases perform on-the-fly computations. We will discuss graphical methods designed for the analysis of de novo sequencing assemblies and read alignments, genome browsing, and comparative genomics, highlighting the strengths and limitations of these approaches and the challenges ahead.
随着我们生成测序数据的能力不断提高,数据分析正在取代数据生成,成为基因组学研究中的限速步骤。在这里,我们提供了一个基因组学数据可视化工具指南,这些工具通过使研究人员能够探索、解释和操作他们的数据,并在某些情况下进行实时计算,从而促进分析任务。我们将讨论专门为从头测序组装和读取比对、基因组浏览和比较基因组学分析设计的图形方法,突出这些方法的优缺点和面临的挑战。