Versatile Quality Control Methods for Nanopore Sequencing

Third-generation sequencing using nanopores as biosensors has recently emerged as a strategy capable to overcome next-generation sequencing drawbacks and pitfalls. Assessing the quality of the data produced by nanopore sequencing platforms is essential to decide how useful these may be in making bio...

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Bibliographic Details
Published in:	Evolutionary bioinformatics online Vol. 15; p. 1176934319863068
Main Authors:	Bolognini, Davide, Semeraro, Roberto, Magi, Alberto
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 2019 Sage Publications Ltd SAGE Publishing
Subjects:	Biosensors Control methods Deoxyribonucleic acid DNA Experiments Metadata Next-generation sequencing Porosity Quality assessment Quality control User interface United States > US quality control nanopore NGS anopore
Online Access:	Get full text
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Summary:	Third-generation sequencing using nanopores as biosensors has recently emerged as a strategy capable to overcome next-generation sequencing drawbacks and pitfalls. Assessing the quality of the data produced by nanopore sequencing platforms is essential to decide how useful these may be in making biological discoveries. Here, we briefly contextualized NanoR, a quality control method for nanopore sequencing data we developed, in the scenario of preexistent similar tools. We also illustrated 2 quality control pipelines, readily applicable to nanopore sequencing data, respectively, based on NanoR and PyPore, a second quality control method published by our group.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Commentary-1
ISSN:	1176-9343 1176-9343
DOI:	10.1177/1176934319863068