Integrative subcellular proteomic analysis allows accurate prediction of human disease-causing genes

Proteomic profiling on subcellular fractions provides invaluable information regarding both protein abundance and subcellular localization. When integrated with other data sets, it can greatly enhance our ability to predict gene function genome-wide. In this study, we performed a comprehensive prote...

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Detalhes bibliográficos
Publicado no:Genome Res
Main Authors: Zhao, Li, Chen, Yiyun, Bajaj, Amol Onkar, Eblimit, Aiden, Xu, Mingchu, Soens, Zachry T., Wang, Feng, Ge, Zhongqi, Jung, Sung Yun, He, Feng, Li, Yumei, Wensel, Theodore G., Qin, Jun, Chen, Rui
Formato: Artigo
Idioma:Inglês
Publicado em: Cold Spring Harbor Laboratory Press 2016
Assuntos:
Method
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4864458/
https://ncbi.nlm.nih.gov/pubmed/26912414
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.198911.115
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