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Research Paper

High quality methylome-wide investigations through next-generation sequencing of DNA from a single archived dry blood spot

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Pages 542-547 | Received 04 Mar 2013, Accepted 01 Apr 2013, Published online: 18 Apr 2013

Figures & data

Figure 1. Sequence quality of methylome-wide data. Data quality outcome variables (y-axis) are given for the samples from whole blood (averages from all samples are shown) and from all blood spots with 2 µg starting material (averages from all samples are shown) as well as for all conditions for the two samples (sample A and B) where different amounts of starting material were used (x-axis).

Figure 1. Sequence quality of methylome-wide data. Data quality outcome variables (y-axis) are given for the samples from whole blood (averages from all samples are shown) and from all blood spots with 2 µg starting material (averages from all samples are shown) as well as for all conditions for the two samples (sample A and B) where different amounts of starting material were used (x-axis).

Figure 2. Overlap with biological features. The percentage of covered CpG sites overlapping with biological features are given for the whole blood (averages from all samples are shown) and from all blood spots with 2 µg starting material (averages from all samples are shown) as well as for all conditions for the two samples (sample A and B) where different amounts of starting material were used (x-axis).

Figure 2. Overlap with biological features. The percentage of covered CpG sites overlapping with biological features are given for the whole blood (averages from all samples are shown) and from all blood spots with 2 µg starting material (averages from all samples are shown) as well as for all conditions for the two samples (sample A and B) where different amounts of starting material were used (x-axis).

Table 1. Study samples and amount of starting material used for each methylome-wide profiling

Supplemental material

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