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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Shranjeno v:
Bibliografske podrobnosti
izdano v: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
Jezik:Inglês
Izdano: Cold Spring Harbor Laboratory Press 2016
Teme:
Method
Online dostop: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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