Read mapping details. This file provides the mapping statistics for all the samples in both RRBS and RNA-seq datasets. Table S1 lists the number of RRBS reads obtained, their % that is uniquely mapped on human genome (hg19) along with total number of CpGs analyzed from each sample. Table S2 lists the number of RNA-seq reads obtained and their % that is uniquely mapped on human genome (hg19) for each sample. (DOCX 124Â kb
Figure S4. Comparison of systemic changes of methylome between two samples. (A) Cumulative depth dis...
Table S1. 519 genes coding for proteins involved in pathways from oxidative stress to cancer. Table ...
Table S1. Samples for RNA-Seq analysis and replication of DNA methylation. Table S2. CLL subgroups o...
Table S1. Data resource of WGBS, RNA-seq, and Infinium HumanMethylation 450 BeadChip data. (XLS 720 ...
Figure S4. Distribution of hyper- and hypomethylated CpGs in patients with or without specific genom...
Table S1. Pearson correlation coefficient of bin methylation level for the positive and negative DNA...
Counts of multi-map groups (MMGs) from Choi et al. [35]. Counts of reads from Choi et al. that map u...
Table S1. The basic characteristics of six patients of colorectal cancer. Table S2. Summary of MeDIP...
Table S2. Pearson correlation coefficient between the inferred bin methylation level and the RRBS da...
Table S3. Spearman correlation coefficient between the inferred bin methylation level and the RRBS d...
Table S1. Relative methylation levels of mgmiRs in human HNSCC cell lines and normal head and neck c...
Figure S3. Methylation and hydroxymethylation levels distribution in different types of genomic elem...
258 genes hypermethylated in more than 90% of all CIMP-H tumours. Two-hundred fifty eight CpG island...
Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...
Sequencing statistics summary. Table S2. Genome feature association of filtered variant-removed CpGs...
Figure S4. Comparison of systemic changes of methylome between two samples. (A) Cumulative depth dis...
Table S1. 519 genes coding for proteins involved in pathways from oxidative stress to cancer. Table ...
Table S1. Samples for RNA-Seq analysis and replication of DNA methylation. Table S2. CLL subgroups o...
Table S1. Data resource of WGBS, RNA-seq, and Infinium HumanMethylation 450 BeadChip data. (XLS 720 ...
Figure S4. Distribution of hyper- and hypomethylated CpGs in patients with or without specific genom...
Table S1. Pearson correlation coefficient of bin methylation level for the positive and negative DNA...
Counts of multi-map groups (MMGs) from Choi et al. [35]. Counts of reads from Choi et al. that map u...
Table S1. The basic characteristics of six patients of colorectal cancer. Table S2. Summary of MeDIP...
Table S2. Pearson correlation coefficient between the inferred bin methylation level and the RRBS da...
Table S3. Spearman correlation coefficient between the inferred bin methylation level and the RRBS d...
Table S1. Relative methylation levels of mgmiRs in human HNSCC cell lines and normal head and neck c...
Figure S3. Methylation and hydroxymethylation levels distribution in different types of genomic elem...
258 genes hypermethylated in more than 90% of all CIMP-H tumours. Two-hundred fifty eight CpG island...
Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...
Sequencing statistics summary. Table S2. Genome feature association of filtered variant-removed CpGs...
Figure S4. Comparison of systemic changes of methylome between two samples. (A) Cumulative depth dis...
Table S1. 519 genes coding for proteins involved in pathways from oxidative stress to cancer. Table ...
Table S1. Samples for RNA-Seq analysis and replication of DNA methylation. Table S2. CLL subgroups o...