QSEA – modelling of genome-wide DNA methylation from sequencing enrichment experiments

We describe a new method, QSEA, for analyzing methylation enrichment data. We generated a benchmark experiment consisting of MeDIP-seq enrichment data, targeted BS-seq validation data, and RNA-seq data on five pairs of tumor and adjacent normal samples of non-small cell lung cancer patients. Details of the method and its performance on the data have been described in Lienhard et al. (2016).

Type: Other
Archiver: EGA European Genome-Phenome Archive

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001003116	Benchmark data set containing five tumor/normal pairs of non-small cell lung cancer (NSCLC) patients. Tissue pairs were screened with bisulfite (BS) sequencing, MeDIP methylation enrichment sequencing and RNA sequencing in order to identify differentially methylated and expressed spots in the genomes.	Illumina HiSeq 2500	10

Publications	Citations
QSEA-modelling of genome-wide DNA methylation from sequencing enrichment experiments. Lienhard M, Grasse S, Rolff J, Frese S, Schirmer U, Becker M, Börno S, Timmermann B, Chavez L, Sültmann H, Leschber G, Fichtner I, Schweiger MR, Herwig R. Nucleic Acids Res 45: 2017 e44	21