Review abstract

Nature Methods 7, S5 - S15 (2010)

Visualizing genomes: techniques and challenges

Cydney B Nielsen1, Michael Cantor2, Inna Dubchak2,3, David Gordon4 & Ting Wang5

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.

  1. British Columbia Cancer Agency, Genome Sciences Centre, Vancouver, British Columbia, Canada.
  2. Department of Energy Joint Genome Institutes, Walnut Creek, California, USA.
  3. Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
  4. Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
  5. Department of Genetics, Center for Genome Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.

Correspondence to: Cydney B Nielsen1 e-mail:


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