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HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Taehoon | - |
dc.contributor.author | Lee, Sungmin | - |
dc.contributor.author | Sim, Woo Young | - |
dc.contributor.author | Jung, Yu Mi | - |
dc.contributor.author | Han, Sunmi | - |
dc.contributor.author | Won, Joong-Ho | - |
dc.contributor.author | Min, Hyeyoung | - |
dc.contributor.author | Yoon, Sungroh | - |
dc.date.accessioned | 2018-03-16T10:46:32Z | - |
dc.date.available | 2018-03-16T19:47:27Z | - |
dc.date.issued | 2018-02-19 | - |
dc.identifier.citation | BMC Bioinformatics, 19(Suppl 1):44 | ko_KR |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | https://hdl.handle.net/10371/139615 | - |
dc.description.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/ . | ko_KR |
dc.description.sponsorship | Publication costs were funded by Seoul National University. This research was supported in part by the Bio & Medical Technology Development Program of the NRF funded by the Korean government, MSIP[No. 2015M3A9A7029735], in part by the Future Flagship Program [No. 10053249] funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea), in part by Samsung Research Funding Center of Samsung Electronics under Project [No. SRFC-IT1601-05], in part by the Brain Korea 21 Plus Project (SNU ECE) in 2017. | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | BioMed Central | ko_KR |
dc.subject | Comet assay | ko_KR |
dc.subject | Single cell electrophoresis | ko_KR |
dc.subject | Image processing | ko_KR |
dc.subject | Segmentation | ko_KR |
dc.title | HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 이태훈 | - |
dc.contributor.AlternativeAuthor | 이성민 | - |
dc.contributor.AlternativeAuthor | 심우영 | - |
dc.contributor.AlternativeAuthor | 정유미 | - |
dc.contributor.AlternativeAuthor | 한선미 | - |
dc.contributor.AlternativeAuthor | 원중호 | - |
dc.contributor.AlternativeAuthor | 민혜영 | - |
dc.contributor.AlternativeAuthor | 윤성오 | - |
dc.identifier.doi | 10.1186/s12859-018-2015-7 | - |
dc.language.rfc3066 | en | - |
dc.rights.holder | The Author(s) | - |
dc.date.updated | 2018-02-25T04:17:39Z | - |
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