Versatile Quality Control Methods for Nanopore Sequencing

Autor: Davide Bolognini, Roberto Semeraro, Alberto Magi
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Evolutionary Bioinformatics, Vol 15 (2019)
Druh dokumentu: article
ISSN: 1176-9343
11769343
DOI: 10.1177/1176934319863068
Popis: 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.
Databáze: Directory of Open Access Journals
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