Vinayagam Arunachalam
Vinayagam Arunachalam
Director, Takeda
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Cited by
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An empirical framework for binary interactome mapping
K Venkatesan, JF Rual, A Vazquez, U Stelzl, I Lemmens, ...
Nature methods 6 (1), 83-90, 2009
An integrative approach to ortholog prediction for disease-focused and other functional studies
Y Hu, I Flockhart, A Vinayagam, C Bergwitz, B Berger, N Perrimon, ...
BMC bioinformatics 12, 1-16, 2011
A directed protein interaction network for investigating intracellular signal transduction
A Vinayagam, U Stelzl, R Foulle, S Plassmann, M Zenkner, J Timm, ...
Science signaling 4 (189), rs8-rs8, 2011
HIPPIE: Integrating protein interaction networks with experiment based quality scores
MH Schaefer, JF Fontaine, A Vinayagam, P Porras, EE Wanker, ...
PloS one 7 (2), e31826, 2012
Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets
A Vinayagam, TE Gibson, HJ Lee, B Yilmazel, C Roesel, Y Hu, Y Kwon, ...
Proceedings of the National Academy of Sciences 113 (18), 4976-4981, 2016
The Hippo signaling pathway interactome
Y Kwon, A Vinayagam, X Sun, N Dephoure, SP Gygi, P Hong, N Perrimon
Science 342 (6159), 737-740, 2013
Integrating protein-protein interaction networks with phenotypes reveals signs of interactions
A Vinayagam, J Zirin, C Roesel, Y Hu, B Yilmazel, AA Samsonova, ...
Nature methods 11 (1), 94-99, 2014
A regulatory network of Drosophila germline stem cell self-renewal
D Yan, RA Neumüller, M Buckner, K Ayers, H Li, Y Hu, D Yang-Zhou, ...
Developmental cell 28 (4), 459-473, 2014
Applying support vector machines for gene ontology based gene function prediction
A Vinayagam, R König, J Moormann, F Schubert, R Eils, KH Glatting, ...
BMC bioinformatics 5, 1-14, 2004
Protein complex–based analysis framework for high-throughput data sets
A Vinayagam, Y Hu, M Kulkarni, C Roesel, R Sopko, SE Mohr, ...
Science signaling 6 (264), rs5-rs5, 2013
Proteomic and functional genomic landscape of receptor tyrosine kinase and ras to extracellular signal–regulated kinase signaling
AA Friedman, G Tucker, R Singh, D Yan, A Vinayagam, Y Hu, R Binari, ...
Science signaling 4 (196), rs10-rs10, 2011
An integrative analysis of the InR/PI3K/Akt network identifies the dynamic response to insulin signaling
A Vinayagam, MM Kulkarni, R Sopko, X Sun, Y Hu, A Nand, C Villalta, ...
Cell reports 16 (11), 3062-3074, 2016
GOPET: a tool for automated predictions of Gene Ontology terms
A Vinayagam, C del Val, F Schubert, R Eils, KH Glatting, S Suhai, R König
BMC bioinformatics 7, 1-7, 2006
Conserved regulators of nucleolar size revealed by global phenotypic analyses
RA Neumüller, T Gross, AA Samsonova, A Vinayagam, M Buckner, ...
Science signaling 6 (289), ra70-ra70, 2013
Global gene expression profiling and cluster analysis in Xenopus laevis
D Baldessari, Y Shin, O Krebs, R König, T Koide, A Vinayagam, U Fenger, ...
Mechanisms of Development 122 (3), 441-475, 2005
Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data
Y Hu, A Vinayagam, A Nand, A Comjean, V Chung, T Hao, SE Mohr, ...
Nucleic acids research 46 (D1), D567-D574, 2018
Combining genetic perturbations and proteomics to examine kinase-phosphatase networks in Drosophila embryos
R Sopko, M Foos, A Vinayagam, B Zhai, R Binari, Y Hu, S Randklev, ...
Developmental cell 31 (1), 114-127, 2014
A computational framework for boosting confidence in high-throughput protein-protein interaction datasets
R Hosur, J Peng, A Vinayagam, U Stelzl, J Xu, N Perrimon, J Bienkowska, ...
Genome biology 13, 1-14, 2012
Proteomic and metabolomic characterization of a mammalian cellular transition from quiescence to proliferation
HJ Lee, MP Jedrychowski, A Vinayagam, N Wu, N Shyh-Chang, Y Hu, ...
Cell reports 20 (3), 721-736, 2017
512017—the database of the Drosophila RNAi screening center and transgenic RNAi project: 2017 update
Y Hu, A Comjean, C Roesel, A Vinayagam, I Flockhart, J Zirin, L Perkins, ...
Nucleic acids research, gkw977, 2016
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