MethPanel: a parallel pipeline and interactive analysis tool for multiplex bisulphite PCR sequencing to assess DNA methylation biomarker panels for disease detection

Abstract Summary DNA methylation patterns in a cell are associated with gene expression and the phenotype of a cell, including disease states. Bisulphite PCR sequencing is commonly used to assess the methylation profile of genomic regions between different cells. Here we have developed MethPanel, a...

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Published inBioinformatics (Oxford, England) Vol. 37; no. 15; pp. 2198 - 2200
Main Authors Luu, Phuc-Loi, Ong, Phuc-Thinh, Loc, Tran Thai Huu, Lam, Dilys, Pidsley, Ruth, Stirzaker, Clare, Clark, Susan J
Format Journal Article
LanguageEnglish
Published England Oxford University Press 09.08.2021
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Summary:Abstract Summary DNA methylation patterns in a cell are associated with gene expression and the phenotype of a cell, including disease states. Bisulphite PCR sequencing is commonly used to assess the methylation profile of genomic regions between different cells. Here we have developed MethPanel, a computational pipeline with an interactive graphical interface to rapidly analyse multiplex bisulphite PCR sequencing data. MethPanel comprises a complete analysis workflow from genomic alignment to DNA methylation calling and supports an unlimited number of PCR amplicons and input samples. MethPanel offers important and unique features, such as calculation of an epipolymorphism score and bisulphite PCR bias correction capabilities, and is designed so that the methylation data from all samples can be processed in parallel. The outputs are automatically forwarded to a shinyApp for convenient display, visualization and remotely sharing data with collaborators and clinicians. Availabilityand implementation MethPanel is freely available at https://github.com/thinhong/MethPanel. Supplementary information Supplementary data are available at Bioinformatics online.
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The authors wish it to be known that, in their opinion, the first two authors and last two authors should be regarded as Joint Authors.
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btaa1060