INKA, an integrative data analysis pipeline for phosphoproteomic inference of active kinases

Identifying hyperactive kinases in cancer is crucial for individualized treatment with specific inhibitors. Kinase activity can be discerned from global protein phosphorylation profiles obtained with mass spectrometry‐based phosphoproteomics. A major challenge is to relate such profiles to specific...

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Библиографические подробности
Опубликовано в: :Mol Syst Biol
Главные авторы: Beekhof, Robin, van Alphen, Carolien, Henneman, Alex A, Knol, Jaco C, Pham, Thang V, Rolfs, Frank, Labots, Mariette, Henneberry, Evan, Le Large, Tessa YS, de Haas, Richard R, Piersma, Sander R, Vurchio, Valentina, Bertotti, Andrea, Trusolino, Livio, Verheul, Henk MW, Jimenez, Connie R
Формат: Artigo
Язык:Inglês
Опубликовано: John Wiley and Sons Inc. 2019
Предметы:
Methods
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6461034/
https://ncbi.nlm.nih.gov/pubmed/30979792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15252/msb.20188250
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