Journal
NATURE METHODS
Volume 7, Issue 3, Pages S5-S15Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1422
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Funding
- National Cancer Institute, National Institutes of Health (NIH) [N01-C0-12400]
- US Department of Energy's Office of Science, Biological and Environmental Research Program
- University of California, Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
- Lawrence Berkeley National Laboratory [DE-AC02-05CH11231]
- Los Alamos National Laboratory [DE-AC02-06NA25396]
- Howard Hughes Medical Institute
- Helen Hay Whitney Foundation
- NIH [R01 HL094976, 1RC2HL10296-01]
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [F32HL010296, R01HL094976] Funding Source: NIH RePORTER
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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.
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