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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864458/
https://www.ncbi.nlm.nih.gov/pubmed/26912414
http://dx.doi.org/10.1101/gr.198911.115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864458/
https://www.ncbi.nlm.nih.gov/pubmed/26912414
http://dx.doi.org/10.1101/gr.198911.115

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