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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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Bibliografske podrobnosti
izdano v:Comput Struct Biotechnol J
Glavni avtor: Moreno-Hagelsieb, Gabriel
Format: Artigo
Jezik:Inglês
Izdano: Research Network of Computational and Structural Biotechnology 2015
Teme:
Online dostop: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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