Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

Measurement(s) drug perturbation response Technology Type(s) proteomic profiling Factor Type(s) cell line • drug Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14744064

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Detalles Bibliográficos
Autores principales: Deborah O. Dele-Oni, Karen E. Christianson, Shawn B. Egri, Alvaro Sebastian Vaca Jacome, Katherine C. DeRuff, James Mullahoo, Vagisha Sharma, Desiree Davison, Tak Ko, Michael Bula, Joel Blanchard, Jennie Z. Young, Lev Litichevskiy, Xiaodong Lu, Daniel Lam, Jacob K. Asiedu, Caidin Toder, Adam Officer, Ryan Peckner, Michael J. MacCoss, Li-Huei Tsai, Steven A. Carr, Malvina Papanastasiou, Jacob D. Jaffe
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Science
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Acceso en línea:https://doaj.org/article/b86900b2f9b8425aac6d9c1d14f49b98
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Sumario:Measurement(s) drug perturbation response Technology Type(s) proteomic profiling Factor Type(s) cell line • drug Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14744064

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