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DNAcycP2: improved estimation of intrinsic DNA cyclizability through data augmentation
Brody Kendall1, Chong Jin2, Keren Li3
1Department of Statistics and Data Science, Northwestern University, 633 Clark Street, Evanston, IL 60208, United States.
Abstract:
Loop-seq is a pioneering high-throughput assay that enables the simultaneous quantification of intrinsic cyclizability across a large set of DNA fragments. However, the assay's reliance on biotin-tethered elongated DNA fragments introduces a tethering effect, leading to biased cyclizability measurements. We demonstrate that the current de-biasing technique is inadequate for fully mitigating this bias. To address this, we introduce DNAcycP2, an enhanced software tool that extends the capabilities of our previous platform, DNAcycP. DNAcycP2 incorporates a novel data augmentation approach to more effectively eliminate biotin tether bias, yielding more accurate estimates of intrinsic DNA cyclizability. Additionally, DNAcycP2 offers improved computational efficiency and expands accessibility through a newly developed R package alongside its existing Python package and web server, ensuring broader utility for the research community.
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