BMC Bioinformatics (Feb 2018)

HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment

  • Taehoon Lee,
  • Sungmin Lee,
  • Woo Young Sim,
  • Yu Mi Jung,
  • Sunmi Han,
  • Joong-Ho Won,
  • Hyeyoung Min,
  • Sungroh Yoon

DOI
https://doi.org/10.1186/s12859-018-2015-7
Journal volume & issue
Vol. 19, no. S1
pp. 49 – 61

Abstract

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Abstract Background DNA damage causes aging, cancer, and other serious diseases. The comet assay can detect multiple types of DNA lesions with high sensitivity, and it has been widely applied. Although comet assay platforms have improved the limited throughput and reproducibility of traditional assays in recent times, analyzing large quantities of comet data often requires a tremendous human effort. To overcome this challenge, we proposed HiComet, a computational tool that can rapidly recognize and characterize a large number of comets, using little user intervention. Results We tested HiComet with real data from 35 high-throughput comet assay experiments, with over 700 comets in total. The proposed method provided unprecedented levels of performance as an automated comet recognition tool in terms of robustness (measured by precision and recall) and throughput. Conclusions HiComet is an automated tool for high-throughput comet-assay analysis and could significantly facilitate characterization of individual comets by accelerating its most rate-limiting step. An online implementation of HiComet is freely available at https://github.com/taehoonlee/HiComet/.

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