ReMap 2018 v1.2

An integrative ChIP-seq analysis of regulatory regions

kg1

Name : KG-1 cell - BTO:0000670
Description : Human acute myeloid leukemia, established from the bone marrow of a 59-year-old man with erythroleukemia that developped into acute myeloid leukemia (AML) at relapse in 1977; cells were described to form colonies in soft-agar in response to colony-stimulating factor.


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


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