HiComet: A high-throughput comet analysis tool for large-scale DNA damage assessment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, T. | - |
dc.contributor.author | Lee, S. | - |
dc.contributor.author | Sim, W.Y. | - |
dc.contributor.author | Jung, Y.M. | - |
dc.contributor.author | Han, S. | - |
dc.contributor.author | Won, J.-H. | - |
dc.contributor.author | Min, H. | - |
dc.contributor.author | Yoon, S. | - |
dc.date.available | 2019-03-08T06:38:26Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3185 | - |
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/. © 2018 The Author(s). | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | BioMed Central Ltd. | - |
dc.title | HiComet: A high-throughput comet analysis tool for large-scale DNA damage assessment | - |
dc.type | Article | - |
dc.identifier.doi | 10.1186/s12859-018-2015-7 | - |
dc.identifier.bibliographicCitation | BMC Bioinformatics, v.19 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000425991900005 | - |
dc.identifier.scopusid | 2-s2.0-85042168720 | - |
dc.citation.title | BMC Bioinformatics | - |
dc.citation.volume | 19 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | Comet assay | - |
dc.subject.keywordAuthor | Image processing | - |
dc.subject.keywordAuthor | Segmentation | - |
dc.subject.keywordAuthor | Single cell electrophoresis | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Biochemical Research Methods | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.