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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Bibliographic Details
Published in: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
Format: Artigo
Language:Inglês
Published: Cold Spring Harbor Laboratory Press 2016
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Method
Online Access: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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