MethPanel: a parallel pipeline and interactive analysis tool for multiplex bisulphite PCR sequencing to assess DNA methylation biomarker panels for disease detection.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
09 Aug 2021
09 Aug 2021
Historique:
received:
26
08
2020
revised:
01
11
2020
accepted:
13
12
2020
medline:
29
12
2020
pubmed:
29
12
2020
entrez:
28
12
2020
Statut:
ppublish
Résumé
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. MethPanel is freely available at https://github.com/thinhong/MethPanel. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 33367555
pii: 6050713
doi: 10.1093/bioinformatics/btaa1060
pmc: PMC8352503
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2198-2200Subventions
Organisme : National Health and Medical Research Council
ID : 1063559
Organisme : Cancer Institute NSW Translational Program
ID : TPG172146
Organisme : Cancer Council NSW
ID : RG-18-09
Organisme : National Breast Cancer Foundation IIRS
ID : NBCF-IIRS-18-137
Organisme : National Foundation
Organisme : Medical Research and Innovation
Organisme : Australian Government
Organisme : National Computational Merit Allocation Scheme 2020
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press.
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