databases > DOI:10.25504/FAIRsharing.FL1LNB

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Translocatome is a database that collects and characterises manually curated and predicted translocating proteins from human cells. The prediction is made by a gradient boosting based machine learning algorithm (XGBoost), using highly curated positive and negative learning sets.

Homepage http://translocatome.linkgroup.hu

Countries that developed this resource Hungary

Created in 2018

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How to cite this record FAIRsharing.org: Translocatome; Translocatome; DOI: https://doi.org/10.25504/FAIRsharing.FL1LNB; Last edited: Jan. 9, 2019, 3:07 p.m.; Last accessed: Jan 21 2021 3:17 p.m.

Publication for citation  Translocatome: a novel resource for the analysis of protein translocation between cellular organelles. Mendik P,Dobronyi L,Hari F,Kerepesi C,Maia-Moco L,Buszlai D,Csermely P,Veres DV; Nucleic Acids Res ; 2018; 10.1093/nar/gky1044;


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Record added: Oct. 22, 2018, 5:34 p.m.
Record updated: Nov. 6, 2018, 11:06 a.m. by The FAIRsharing Team.

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Translocatome: a novel resource for the analysis of protein translocation between cellular organelles.

Mendik P,Dobronyi L,Hari F,Kerepesi C,Maia-Moco L,Buszlai D,Csermely P,Veres DV
Nucleic Acids Res 2018

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  • 2018-1.2.1-NKP-00008: Exploring the Mathematical Foundations of Artificial Intelligence (Higher Education Institutional Excellence Programme of the Ministry of Human Capacities, Hungary)

  • OTKA K115378 (Hungarian National Research Development and Innovation Office, Hungary)

  • ÚNKP-16-2-41 (New National Excellence Program of the Hungarian Ministry of Human Capacities)

  • ÚNKP-17-2-I-SE-67 (New National Excellence Program of the Hungarian Ministry of Human Capacities)