Visualizing genomes: Techniques and challenges

Cydney B. Nielsen, Michael Cantor, Inna Dubchak, David Gordon, Ting Wang

Research output: Contribution to journalReview articlepeer-review

109 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)S1-S11
JournalNature Methods
Volume7
Issue number3
DOIs
StatePublished - Mar 2010

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