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Jordana T Bell

Showing results (1-10 of 155) with videos related to

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International Journal of Epidemiology|January 19, 2012
The value of twins in epigenetic epidemiologyJordana T Bell, Richard Saffery
Genome Biology|May 1, 2021
Genetic impacts on DNA methylation: research findings and future perspectivesSergio Villicaña, Jordana T Bell
International Journal of Epidemiology|May 15, 2015
Power and sample size estimation for epigenome-wide association scans to detect differential DNA methylationPei-Chien Tsai, Jordana T Bell
Trends in Genetics : TIG|January 25, 2011
A twin approach to unraveling epigeneticsJordana T Bell, Tim D Spector
Genome Biology|October 20, 2012
DNA methylation studies using twins: what are they telling us?Jordana T Bell, Tim D Spector
Clinical Epigenetics|October 10, 2021
DNA methylation signatures of incident coronary heart disease: findings from epigenome-wide association studiesYujing Xia, Alison Brewer, Jordana T Bell
Epigenomics|November 8, 2012
Using epigenome-wide association scans of DNA methylation in age-related complex human traitsPei-Chien Tsai, Tim D Spector, Jordana T Bell
Genome Medicine|December 9, 2014
Epigenetics of discordant monozygotic twins: implications for diseaseJuan E Castillo-Fernandez, Tim D Spector, Jordana T Bell
BMC Bioinformatics|May 1, 2015
coMET: visualisation of regional epigenome-wide association scan results and DNA co-methylation patternsTiphaine C Martin, Idil Yet, Pei-Chien Tsai, et al.
Peerj|September 17, 2016
A heritability-based comparison of methods used to cluster 16S rRNA gene sequences into operational taxonomic unitsMatthew A Jackson, Jordana T Bell, Tim D Spector, et al.
Pageof 16

Showing results (1-10 of 155) with videos related to

Sort By:
Pageof 16
International Journal of Epidemiology|January 19, 2012
The value of twins in epigenetic epidemiologyJordana T Bell, Richard Saffery
Genome Biology|May 1, 2021
Genetic impacts on DNA methylation: research findings and future perspectivesSergio Villicaña, Jordana T Bell
International Journal of Epidemiology|May 15, 2015
Power and sample size estimation for epigenome-wide association scans to detect differential DNA methylationPei-Chien Tsai, Jordana T Bell
Trends in Genetics : TIG|January 25, 2011
A twin approach to unraveling epigeneticsJordana T Bell, Tim D Spector
Genome Biology|October 20, 2012
DNA methylation studies using twins: what are they telling us?Jordana T Bell, Tim D Spector
Clinical Epigenetics|October 10, 2021
DNA methylation signatures of incident coronary heart disease: findings from epigenome-wide association studiesYujing Xia, Alison Brewer, Jordana T Bell
Epigenomics|November 8, 2012
Using epigenome-wide association scans of DNA methylation in age-related complex human traitsPei-Chien Tsai, Tim D Spector, Jordana T Bell
Genome Medicine|December 9, 2014
Epigenetics of discordant monozygotic twins: implications for diseaseJuan E Castillo-Fernandez, Tim D Spector, Jordana T Bell
BMC Bioinformatics|May 1, 2015
coMET: visualisation of regional epigenome-wide association scan results and DNA co-methylation patternsTiphaine C Martin, Idil Yet, Pei-Chien Tsai, et al.
Peerj|September 17, 2016
A heritability-based comparison of methods used to cluster 16S rRNA gene sequences into operational taxonomic unitsMatthew A Jackson, Jordana T Bell, Tim D Spector, et al.
Pageof 16