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Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Published on: June 3, 2019

Methplotlib: analysis of modified nucleotides from nanopore sequencing.

Wouter De Coster¹, Endre Bakken Stovner^2,3, Mojca Strazisar¹

¹VIB, Center for Molecular Neurology, Antwerp 2610, Belgium.

Bioinformatics (Oxford, England)

|February 14, 2020

Summary

This summary is machine-generated.

Methplotlib is a new Python tool for visualizing modified nucleotides from Oxford Nanopore sequencing. It also provides scripts for analyzing allele-specific and differential modification frequencies.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Modified nucleotides are essential for gene expression regulation.
Accurate visualization and analysis of these modifications are critical for understanding biological processes.

Purpose of the Study:

To introduce methplotlib, a novel computational tool for visualizing modified nucleotides.
To provide scripts for statistical analysis of allele-specific and differential modification frequencies.

Main Methods:

Developed a Python3 command-line tool named methplotlib.
Integrated visualization of modified nucleotides from Oxford Nanopore Technologies data.
Included scripts for within-subject and across-subject statistical analyses.

Main Results:

Methplotlib enables visualization of modified nucleotide data.
The tool facilitates statistical analysis of modification patterns.
Supports analysis of allele-specific and differential modification frequencies.

Conclusions:

Methplotlib is a valuable tool for researchers studying modified nucleotides.
The software enhances the analysis of sequencing data from Oxford Nanopore platforms.
Facilitates deeper insights into gene expression regulation through nucleotide modification analysis.