ReMap 2018 v1.2

An integrative ChIP-seq analysis of regulatory regions

mda436

Name : MDA-MB-436 cell - BTO:0001568
Description : Human breast cancer cell line that expresses high levels of seprase as do the carcinoma cells in tumors of human breast cancer patients.


To address ChIP-seq variability in term of quality, we used four different metrics based on ENCODE ChIP-seq guidelines to retain high quality datasets for downstream analyses. First we used the normalized strand cross-correlation coefficient (NSC) which is a normalized ratio between the fragment-length cross-correlation peak and the background cross-correlation, and the relative strand cross-correlation coefficient (RSC), a ratio between the fragment-length peak and the read-length peak to exclude low quality datasets. We also used the fraction of reads in peaks (FRiP) and the number of peaks identified in each dataset to filter datasets.

Datasets retained for this tissue / cell line

Datasets excluded for this tissue / cell line


To address ChIP-seq variability in term of quality, we used four different metrics based on ENCODE ChIP-seq guidelines to retain high quality datasets for downstream analyses. First we used the normalized strand cross-correlation coefficient (NSC) which is a normalized ratio between the fragment-length cross-correlation peak and the background cross-correlation, and the relative strand cross-correlation coefficient (RSC), a ratio between the fragment-length peak and the read-length peak to exclude low quality datasets. We also used the fraction of reads in peaks (FRiP) and the number of peaks identified in each dataset to filter datasets.

Datasets retained for this tissue / cell line