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Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks

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Sci. Signal.  22 May 2018:
Vol. 11, Issue 531, eaaq1087
DOI: 10.1126/scisignal.aaq1087

Article Information

vol. 11 no. 531

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History: 
  • Received October 2, 2017
  • Accepted May 4, 2018

Author Information

  1. Mark Grimes1,*,
  2. Benjamin Hall2,
  3. Lauren Foltz1,
  4. Tyler Levy2,
  5. Klarisa Rikova2,
  6. Jeremiah Gaiser1,
  7. William Cook1,
  8. Ekaterina Smirnova1,
  9. Travis Wheeler1,
  10. Neil R. Clark3,
  11. Alexander Lachmann3,
  12. Bin Zhang2,
  13. Peter Hornbeck2,
  14. Avi Ma’ayan3, and
  15. Michael Comb2
  1. 1Division of Biological Sciences, and Department of Computer Science, Department of Mathematical Sciences, University of Montana, Missoula, MT 59812, USA.
  2. 2Cell Signaling Technology, Danvers, MA 01923, USA.
  3. 3Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS (Big Data to Knowledge Library of Integrated Network-based Cellular Signatures) Data Coordination and Integration Center, Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA.
  1. *Corresponding author. Email: mark.grimes{at}mso.umt.edu

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Article usage: May 2018 to June 2018

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