IntOGen: integration and data mining of multidimensional oncogenomic data (original) (raw)

Nature Methods volume 7, pages 92–93 (2010)Cite this article

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To the Editor:

The use of high-throughput techniques has come to the fore in modern cancer research. Several projects collate and analyze multiple datasets from cancer gene studies1,2,3. The vast amount of oncogenomic data produced to date, together with data from new, large-scale projects such as The Cancer Genome Atlas4 and the International Cancer Genome Consortium (http://www.icgc.org/) provides two new challenges5: (i) biologically relevant integration of the information coming from heterogeneous sources and (ii) an intuitive visualization system to capture changes important to tumorigenesis (driver alterations).

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Figure 1: Identification of driver alterations at different levels in IntOGen.

References

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Author notes

  1. Simon J Furney
    Present address: Present address: National Institute for Health Research Biomedical Research Centre for Mental Health, Institute of Psychiatry, King's College, London, UK.,

Authors and Affiliations

  1. Department of Experimental and Health Science, Research Unit on Biomedical Informatics, Universitat Pompeu Fabra, Barcelona, Spain
    Gunes Gundem, Christian Perez-Llamas, Alba Jene-Sanz, Abul Islam, Jordi Deu-Pons, Simon J Furney & Nuria Lopez-Bigas
  2. Bioinformatics and Genomics Program, Centre for Genomic Regulation, Barcelona, Spain
    Anna Kedzierska
  3. National Institute of Bioinformatics, Biomedical Informatics Node, Barcelona Biomedical Research Park, Barcelona, Spain
    Jordi Deu-Pons

Authors

  1. Gunes Gundem
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  2. Christian Perez-Llamas
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  3. Alba Jene-Sanz
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  4. Anna Kedzierska
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  5. Abul Islam
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  6. Jordi Deu-Pons
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  7. Simon J Furney
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  8. Nuria Lopez-Bigas
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Corresponding author

Correspondence toNuria Lopez-Bigas.

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The authors declare no competing financial interests.

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Gundem, G., Perez-Llamas, C., Jene-Sanz, A. et al. IntOGen: integration and data mining of multidimensional oncogenomic data.Nat Methods 7, 92–93 (2010). https://doi.org/10.1038/nmeth0210-92

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