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Dataset Information

WACS: improving ChIP-seq peak calling by optimally weighting controls.


ABSTRACT:

Background

Chromatin immunoprecipitation followed by high throughput sequencing (ChIP-seq), initially introduced more than a decade ago, is widely used by the scientific community to detect protein/DNA binding and histone modifications across the genome. Every experiment is prone to noise and bias, and ChIP-seq experiments are no exception. To alleviate bias, the incorporation of control datasets in ChIP-seq analysis is an essential step. The controls are used to account for the background signal, while the remainder of the ChIP-seq signal captures true binding or histone modification. However, a recurrent issue is different types of bias in different ChIP-seq experiments. Depending on which controls are used, different aspects of ChIP-seq bias are better or worse accounted for, an

SUBMITTER: Awdeh A 

PROVIDER: S-EPMC7885521 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature