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DMRFusion: A differentially methylated region detection tool based on the ranked fusion method.
Yassi, Maryam; Shams Davodly, Ehsan; Mojtabanezhad Shariatpanahi, Afsaneh; Heidari, Mehdi; Dayyani, Mahdieh; Heravi-Moussavi, Alireza; Moattar, Mohammad Hossein; Kerachian, Mohammad Amin.
Afiliação
  • Yassi M; Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
  • Shams Davodly E; Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
  • Mojtabanezhad Shariatpanahi A; Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
  • Heidari M; Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
  • Dayyani M; Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
  • Heravi-Moussavi A; Canada's Michael Smith Genome Sciences Center, BC Cancer Agency, Vancouver, British Columbia, Canada.
  • Moattar MH; Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
  • Kerachian MA; Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran; Cancer Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address:
Genomics ; 110(6): 366-374, 2018 11.
Article em En | MEDLINE | ID: mdl-29309841
DNA methylation is an important epigenetic modification involved in many biological processes and diseases. Computational analysis of differentially methylated regions (DMRs) could explore the underlying reasons of methylation. DMRFusion is presented as a useful tool for comprehensive DNA methylation analysis of DMRs on methylation sequencing data. This tool is designed base on the integration of several ranking methods; Information gain, Between versus within Class scatter ratio, Fisher ratio, Z-score and Welch's t-test. In this study, DMRFusion on reduced representation bisulfite sequencing (RRBS) data in chronic lymphocytic leukemia cancer displayed 30 nominated regions and CpG sites with a maximum methylation difference detected in the hypermethylation DMRs. We realized that DMRFusion is able to process methylation sequencing data in an efficient and accurate manner and to provide annotation and visualization for DMRs with high fold difference score (p-value and FDR<0.05 and type I error: 0.04).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de DNA / Metilação de DNA / Epigenômica Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de DNA / Metilação de DNA / Epigenômica Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Genomics Assunto da revista: GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Irã