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Published January 2011 | Accepted Version + Supplemental Material
Journal Article Open

Integrative genomics viewer

Abstract

Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

Additional Information

© 2011 Macmillan Publishers Limited. Thanks to M.-D. Nazaire, IGV software developer, J. Boehm, M. DePristo, M. Garber, M. Reich and B. Weir, who worked closely with the development team with suggestions for features and usability, and J. Bistline for expert assistance with figures. M. Garber provided source code for multiple alignment tracks. This work was supported by The National Institute of General Medical Sciences (R01GM074024), National Cancer Institute (R21CA135827) and National Human Genome Research Institute (U54HG003067). Author contributions: J.T.R. and H.T. designed and developed the software; W.W., M.G., E.S.L., G.G. and J.P.M. contributed to the design of the interface and data views; J.P.M. and G.G. oversaw the project; and J.T.R., H.T., W.W., G.G. and J.P.M. wrote the manuscript. The authors declare no competing financial interests.

Attached Files

Accepted Version - nihms247133.pdf

Supplemental Material - nbt.1754-S1.pdf

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August 19, 2023
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