DNA Methylation Track Settings
 
DNA methylation in mouse tissues

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            placenta_E15
            placenta_E11
            liver_E15
            lung_fibroblast_E15
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dense
 E11.5 Placenta Methyl  DNA methylation in E11.5 mouse placenta tissue (bam)   Schema 
full
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 E11.5 Placenta Methyl 2  DNA methylation in E11.5 mouse placenta tissue (bigWig)   Schema 
dense
 E15.5 Liver Methyl  DNA methylation in E15.5 mouse liver tissue (bam)   Schema 
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 E15.5 Liver Methyl 2  DNA methylation in E15.5 mouse liver tissue (bigWig)   Schema 
dense
 E15.5 Placenta Methyl  DNA methylation in E15.5 mouse placenta tissue (bam)   Schema 
full
 Configure
 E15.5 Placenta Methyl 2  DNA methylation in E15.5 mouse placenta tissue (bigWig)   Schema 
dense
 Lung Fib E15.5 Methyl  DNA methylation in E15.5 mouse lung fibroblast tissue (bam)   Schema 
full
 Configure
 Lung Fib E15.5 Methyl 2  DNA methylation in E15.5 mouse lung fibroblasts (bigWig)   Schema 
    

Description

This track shows low-coverage DNA methylation (MethylC-seq) data in mouse tissues.


Display Conventions and Configuration

Methylation data are available in two formats:

Methyl (BAM format)

In dense mode, each bar represents a single CpG site.

  • Red = 80-100% methylation
  • Green = 60-80% methylation
  • Blue = 1-60% methylation
  • Black = 0% methylation

In pack mode, the color-coding is the same but each CpG site is labeled by the percent methylation at that site.

Note that, due to low coverage, a CpG site may be colored red or black simply because there was only one read that covered that site. Therefore this data is most useful when viewed over larger genomic distances.

Methyl2 (bigWig format)

In dense mode, each bar represents a single CpG site, color-coded as a gradient from light gray (low methylation) to black (high methylation).

In full mode, methylation is graphed as a black curve with percent methylation on the y axis. Properties of this track can be modified by pressing the wrench symbol above.


Methods

For all samples, MethylC-seq read were aligned to the genome using BS Seeker, allowing two mismatches (not including those at CpG sites). Only one read per genomic position was kept to prevent clonal PCR amplification biases. CpG site methylation data were combined from both DNA strands.


Credits

All data provided by:
Diane Schroeder and Dr. Janine LaSalle from UC Davis.

For questions, contact Dr. Janine LaSalle: jmlasalle@ucdavis.edu


References

Schroeder DI, Blair JD, Lott P, Yu HO, Hong D, Crary F, Ashwood P, Walker C, Korf I, Robinson WP, LaSalle JM. (2013) The human placenta methylome. Proc Natl Acad Sci U S A. 110(15):6037-42.

Schroeder DI, Jayashankar K, Douglas KC, Thirkill TL, York D, Dickinson PJ, Williams LE, Samollow PB, Ross PJ, Bannasch DL, Douglas GC, LaSalle JM. (2015) Early developmental and evolutionary origins of gene body DNA methylation patterns in mammalian placentas. PLoS Genet. 11(8):e1005442.