ChIPQC

standardized quality assessment in ChIP-seq studies, especially in light of advancements in ChIP-seq multiplexing technologies that have significantly increased throughput. Building upon the foundation laid by the ENCODE consortium and other research efforts, ChIPQC incorporates a new generation of quality control measures tailored for ChIP-seq analysis, including assessing transcription factor binding and epigenetic marks.

The study conducted with ChIPQC critically examines how the preprocessing steps, such as blacklisting and removal of duplicated reads, impact the interpretation of established ChIP-seq quality metrics. It reveals that the reliability of these metrics is considerably influenced by the specific preprocessing strategies employed, underscoring the importance of standardizing these steps to ensure consistent and meaningful quality assessments.

Topic

ChIP-seq

Detail

  • Operation: Nucleic acid sequence analysis

  • Software interface: Command-line user interface,Library

  • Language: R

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: 1.38.0

  • Credit: Wellcome Trust, Wellcome Trust Senior Research Fellowship, Medical Research Council, Wellcome Trust Comprehensive Research Facility, Cancer Research UK, and Human Frontier Science Program.

  • Input: -

  • Output: -

  • Contact: Tom Carroll tc.infom@ics@gmail.com,RoryStark

  • Collection: -

  • Maturity: Stable

Publications

  • Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data.
  • Carroll TS, et al. Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data. Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data. 2014; 5:75. doi: 10.3389/fgene.2014.00075
  • https://doi.org/10.3389/fgene.2014.00075
  • PMID: 24782889
  • PMC: PMC3989762

Download and documentation


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