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Integrating the ENCODE blocklist for machine learning quality control of ChIP-seq data with seqQscorer

2025-05-15

Abstract excerpt

<h4>Motivation</h4> Quality assessment of next-generation sequencing data is a complex but important task to ensure correct conclusions from experiments in molecular biology, biomedicine, and biotechnology. We previously introduced seqQscorer, a quality assessment tool using machine learning to support this process. To improve seqQscorer in terms of accuracy and processing time, we integrated the ENCODE blocklist...

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Literature Corpus work
e2f0d8d4-3c2e-5d2f-acf8-1ced47c349fa
DOI
10.1101/2025.05.12.653555
Open publication

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Integrating the ENCODE blocklist for machine learning quality control of ChIP-seq data with seqQscorerDOI 10.1101/2025.05.12.653555
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