Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks-Reference-Cited by-同舟云学术

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

Published:2018-05-22 Issue:531 Volume:11 Page:
ISSN:1945-0877
Container-title:Science Signaling
language:en
Short-container-title:Sci. Signal.

Author:

Grimes Mark¹,Hall Benjamin²^ORCID,Foltz Lauren¹,Levy Tyler²,Rikova Klarisa²,Gaiser Jeremiah¹,Cook William¹,Smirnova Ekaterina¹^ORCID,Wheeler Travis¹^ORCID,Clark Neil R.³,Lachmann Alexander³^ORCID,Zhang Bin²,Hornbeck Peter²^ORCID,Ma’ayan Avi³^ORCID,Comb Michael²

Affiliation:

1. Division of Biological Sciences, and Department of Computer Science, Department of Mathematical Sciences, University of Montana, Missoula, MT 59812, USA.

2. Cell Signaling Technology, Danvers, MA 01923, USA.

3. Department 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.

Abstract

Integrated multiomics network analysis reveals signaling profiles in lung cancer.

Funder

NIH-BD2K LINCS Consortium grant

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Cell Biology,Molecular Biology,Biochemistry

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