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Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis
Published on: December 12, 2017
Inherent signals in sequencing-based Chromatin-ImmunoPrecipitation control libraries
Vinsensius B Vega1, Edwin Cheung, Nallasivam Palanisamy
1Computational and Mathematical Biology Group, Genome Institute of Singapore, Singapore, Singapore.
Plos One
|April 16, 2009
Summary
Control libraries in Chromatin Immuno-Precipitation (ChIP) studies contain systematic biases from copy number and sequencing. Analyzing these biases in control libraries offers valuable biological insights.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Sequencing-based Chromatin Immuno-Precipitation (ChIP) is growing, necessitating better understanding of its data to minimize errors.
- Control libraries are crucial for mitigating systematic biases in ChIP data.
- This study investigates the nature and representation of various control libraries.
Purpose of the Study:
- To explore multiple control libraries used in sequencing-based ChIP.
- To understand what these control libraries truly represent.
- To identify sources of bias in ChIP experiments.
Main Methods:
- Genome-wide analysis of sequencing libraries at 1 Mbp resolution.
- Comparison of library profiles with each other and aCGH data.
- Assessment of repeat regions for mapping bias and identification of tag-rich regions.
Main Results:
- Copy number significantly influences both ChIP-enriched and control libraries.
- Repeat regions exhibit mapping biases.
- Gene boundaries are unexpectedly enriched with sequenced tags.
- Distinct profiles were observed between different cell types.
Conclusions:
- Control libraries contain systematic biases, including those from genomic copy number, sequencing, mapping ambiguity, and cell-type specific chromatin.
- Careful analysis of control libraries can yield significant biological insights.
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