Comparison of CHH methylation across experiments testing optimized TMS in three NHP species. by Amy Longtin (21409957)

Spatial patterns of developmental changes in nodal entropy using different statistical models. by Tianyuan Lei (19683861)

Distribution of average per-site coverage and average paired-end reads broken down by experiment. by Amy Longtin (21409957)

Average methylation and coverage across technologies. by Amy Longtin (21409957)

Number of on-target CpG sites represented in each experiment. by Amy Longtin (21409957)

County, state, and GPS coordinates of the sampled <i>A</i>. <i>hispidus</i> populations. by Michael C. Beall (18764654)

Univariate relationship in spatial patterns between nodal entropy and structural brain features within each scan in children. by Tianyuan Lei (19683861)

TMS recapitulates epigenetic age predictions and tissue-dependent effects identified via other technologies. by Amy Longtin (21409957)

Study populations and sample information for each experiment (names of experiments are as described in Results). F = female, M = male, VUMC = Vanderbilt University Medical Center.... by Amy Longtin (21409957)

Relationship between effect size, coverage, sample size, and power. by Amy Longtin (21409957)

Correlation in site-level DNA methylation estimates between TMS and RRBS data after permutation. by Amy Longtin (21409957)

Longitudinal development of overlapping functional modules at the global and nodal levels. by Tianyuan Lei (19683861)

Fig 5 - by Giulio Contemori (7019876)

UTCI effects. by Wael Ghada (11719000)

Itemized cost-per-sample breakdown of TMS. by Amy Longtin (21409957)

“…<div><p>Characterizing DNA methylation patterns is important for addressing key questions in evolutionary biology, development, geroscience, and medical genomics. While costs are decreasing, whole-genome DNA methylation profiling remains prohibitively expensive for most population-scale studies, creating a need for cost-effective, reduced representation approaches (i.e., assays that rely on microarrays, enzyme digests, or sequence capture to target a subset of the genome). …”

Correlation in average site-level DNA methylation estimates between TMS and RRBS. by Amy Longtin (21409957)

Correlation in average site-level methylation between samples processed using Illumina’s DRAGEN pipeline and our custom pipeline. by Amy Longtin (21409957)

Correlation in average site-level methylation for varying fragmentation methods. by Amy Longtin (21409957)

Correlation in average methylation at each site between plexing strategies. by Amy Longtin (21409957)

Correlation in average methylation at each site between input amounts. by Amy Longtin (21409957)