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Reference : PCfun: a hybrid computational framework for systematic characterization of protein co... |
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| | Scientific journals : Article | |
| | Life sciences : Biotechnology
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| | http://hdl.handle.net/10993/53479 | |
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| PCfun: a hybrid computational framework for systematic characterization of protein complex function |
| English |
| Sharma, Varun [] |
| Fossati, Andrea [] |
| Ciuffa, Rodolfo [] |
| Buljan, Marija [] |
| Williams, Evan [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Gene Expression and Metabolism >] |
| Chen, Zhen [] |
| Shao, Wenguang [] |
| Pedrioli, Patrick [] |
| Purcell, Anthony [] |
| Rodriguez Martinez, Maria [] |
| Song, Jiangning [] |
| Manica, Matteo [] |
| Aebersold, Ruedi [] |
| Li, Chen [] |
| 23-Jul-2022 |
| Briefings in Bioinformatics |
| Oxford University Press |
| 23 |
| 4 |
| bbac239 |
| Yes |
| International |
| 1467-5463 |
| 1477-4054 |
| United Kingdom |
| http://hdl.handle.net/10993/53479 |
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