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poRe GUIs for parallel and real-time processing of MinION sequence data.

Robert D Stewart¹, Mick Watson^1,2

¹Department of Genetics and Genomics, University of Edinburgh, Easter Bush, UK.

Bioinformatics (Oxford, England)

|March 24, 2017

Summary

New graphical user interfaces (GUIs) for the R package poRe simplify quality control and data extraction for Oxford Nanopore MinION sequencing datasets, making complex bioinformatics accessible to more researchers.

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Oxford Nanopore's MinION device generates large-scale sequencing data (millions of reads, gigabases).
Existing bioinformatics tools often require advanced computational skills for MinION data analysis.
Efficient quality control (QC) and data extraction are crucial for processing MinION outputs.

Purpose of the Study:

To develop user-friendly tools for processing MinION sequencing data.
To enable scientists with varying computational expertise to perform QC and data extraction.
To facilitate parallel and real-time analysis of large MinION datasets.

Main Methods:

Development of two graphical user interfaces (GUIs) integrated into the R package poRe.
Implementation of a point-and-click interface for ease of use.
Utilizing commodity hardware for processing.

Main Results:

The poRe package provides GUIs for parallel and real-time processing of MinION data.
The GUIs enable straightforward extraction of sequence and metadata from large datasets.
The tools are designed for accessibility, catering to a wider range of scientific users.

Conclusions:

The poRe GUIs offer an accessible solution for MinION data analysis.
These tools democratize the use of MinION sequencing data by simplifying QC and extraction.
The development supports efficient and user-friendly bioinformatics workflows for nanopore sequencing.