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

作者：Lee Taehoon; Lee Sungmin; Sim Woo Young; Jung Yu Mi; Han Sunmi; Won Joong Ho; Min Hyeyoung; Yoon Sungroh^*

来源：BMC Bioinformatics, 2018, 19(S1): 44.

DOI：10.1186/s12859-018-2015-7

• Comet assay
• Single cell electrophoresis
• Image processing
• Segmentation

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.

• 出版日期2018-2-19