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Exploiting human and mouse transcriptomic data: Identification of circadian genes and pathways influencing health

The power of the application of bioinformatics across multiple publicly available transcriptomic data sets was explored. Using 19 human and mouse circadian transcriptomic data sets, we found that NR1D1 and NR1D2 which encode heme‐responsive nuclear receptors are the most rhythmic transcripts across...

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Detalhes bibliográficos
Publicado no:Bioessays
Main Authors: Laing, Emma E., Johnston, Jonathan D., Möller‐Levet, Carla S., Bucca, Giselda, Smith, Colin P., Dijk, Derk‐Jan, Archer, Simon N.
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5031210/
https://ncbi.nlm.nih.gov/pubmed/25772847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bies.201400193
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