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The power of operon rearrangements for predicting functional associations
In this mini-review I aim to make the case that operons might be the most powerful source for predicted associations among gene products. Such associations can help identify potential processes where the products of unannotated genes might play a role. The power of the operon for providing insight i...
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| Publicado no: | Comput Struct Biotechnol J |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Research Network of Computational and Structural Biotechnology
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4506987/ https://ncbi.nlm.nih.gov/pubmed/26199682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2015.06.002 |
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