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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506987/ https://www.ncbi.nlm.nih.gov/pubmed/26199682 http://dx.doi.org/10.1016/j.csbj.2015.06.002 |