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Items: 9

1.

Evaluation of the patient safety climate in hospitalization units: a cross-sectional study.

Silva AEBC, Cavalcante RGF, Lima JC, Sousa MRG, Sousa TP, Nunes RLS.

Rev Esc Enferm USP. 2019 Dec 2;53:e03500. doi: 10.1590/S1980-220X2018027203500. eCollection 2019. Portuguese, English.

2.

The probiotic Lactobacillus fermentum 296 attenuates cardiometabolic disorders in high fat diet-treated rats.

Cavalcante RGS, de Albuquerque TMR, de Luna Freire MO, Ferreira GAH, Carneiro Dos Santos LA, Magnani M, Cruz JC, Braga VA, de Souza EL, de Brito Alves JL.

Nutr Metab Cardiovasc Dis. 2019 Dec;29(12):1408-1417. doi: 10.1016/j.numecd.2019.08.003. Epub 2019 Aug 14.

PMID:
31640890
3.

Gut microbiota and probiotic intervention as a promising therapeutic for pregnant women with cardiometabolic disorders: Present and future directions.

de Brito Alves JL, de Oliveira Y, Carvalho NNC, Cavalcante RGS, Pereira Lira MM, Nascimento LCPD, Magnani M, Vidal H, Braga VA, de Souza EL.

Pharmacol Res. 2019 Jul;145:104252. doi: 10.1016/j.phrs.2019.104252. Epub 2019 May 2. Review.

PMID:
31054952
4.

Age-related epigenome-wide DNA methylation and hydroxymethylation in longitudinal mouse blood.

Kochmanski J, Marchlewicz EH, Cavalcante RG, Sartor MA, Dolinoy DC.

Epigenetics. 2018;13(7):779-792. doi: 10.1080/15592294.2018.1507198. Epub 2018 Aug 23.

5.

Longitudinal Effects of Developmental Bisphenol A Exposure on Epigenome-Wide DNA Hydroxymethylation at Imprinted Loci in Mouse Blood.

Kochmanski JJ, Marchlewicz EH, Cavalcante RG, Perera BPU, Sartor MA, Dolinoy DC.

Environ Health Perspect. 2018 Jul 23;126(7):077006. doi: 10.1289/EHP3441. eCollection 2018 Jul.

6.

Integrating DNA Methylation and Hydroxymethylation Data with the Mint Pipeline.

Cavalcante RG, Patil S, Park Y, Rozek LS, Sartor MA.

Cancer Res. 2017 Nov 1;77(21):e27-e30. doi: 10.1158/0008-5472.CAN-17-0330.

7.

annotatr: genomic regions in context.

Cavalcante RG, Sartor MA.

Bioinformatics. 2017 Aug 1;33(15):2381-2383. doi: 10.1093/bioinformatics/btx183.

8.

ConceptMetab: exploring relationships among metabolite sets to identify links among biomedical concepts.

Cavalcante RG, Patil S, Weymouth TE, Bendinskas KG, Karnovsky A, Sartor MA.

Bioinformatics. 2016 May 15;32(10):1536-43. doi: 10.1093/bioinformatics/btw016. Epub 2016 Jan 21.

9.

Broad-Enrich: functional interpretation of large sets of broad genomic regions.

Cavalcante RG, Lee C, Welch RP, Patil S, Weymouth T, Scott LJ, Sartor MA.

Bioinformatics. 2014 Sep 1;30(17):i393-400. doi: 10.1093/bioinformatics/btu444.

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