Abstract
BackgroundOne of the main advantages of the Oxford Nanopore Technology (ONT) is the possibility of real-time sequencing. This gives access to information during the experiment and allows either to control the sequencing or to stop the sequencing once the results have been obtained. However, the ONT sequencing interface is not sufficient to explore the quality of sequencing data in depth and existing quality control tools do not take full advantage of real-time data streaming.ResultsHerein, we present BoardION, an interactive web application to analyze the efficiency of ONT sequencing runs. The interactive interface of BoardION allows users to easily explore sequencing metrics and optimize the quantity and the quality of the data generated during the experiment. It also enables the comparison of multiple flowcells to assess library preparation protocols or the quality of input samples.ConclusionBoardION is dedicated to people who manage ONT sequencing instruments and allows them to remotely and in real time monitor their experiments and compare multiple sequencing runs. Source code, a Docker image and a demo version are available at http://www.genoscope.cns.fr/boardion/.
Highlights
One of the main advantages of the Oxford Nanopore Technology (ONT) is the possibility of real-time sequencing
The ONT technology allows the sequencing of long Deoxyribo nucleic acid (DNA) or RNA molecules with a read accuracy of currently 96% [1] and already has a wide range of applications [2,3,4,5,6,7]
Unlike traditional next-generation sequencing platforms, which provide data at the end of the sequencing experiment, ONT sequencing data is generated in real time
Summary
One of the main advantages of the Oxford Nanopore Technology (ONT) is the possibility of real-time sequencing. This gives access to information during the experiment and allows either to control the sequencing or to stop the sequencing once the results have been obtained. The interactive interface of BoardION allows users to explore sequencing metrics and optimize the quantity and the quality of the data generated during the experiment. It enables the comparison of multiple flowcells to assess library preparation protocols or the quality of input samples. Almost all quality control tools such as MinIONQC [10], pycoQC [11], NanoPack [12] and ToulligQC [13] do not take full advantage of the real-time capability of
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