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Objective review of de novo stand-alone error correction methods for NGS data

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Objective review of de novo stand-alone error correction methods for NGS data

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Alic, AS.; Ruzafa, D.; Dopazo, J.; Blanquer Espert, I. (2016). Objective review of de novo stand-alone error correction methods for NGS data. Wiley Interdisciplinary Reviews: Computational Molecular Science. 6(2):111-146. doi:10.1002/wcms.1239

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/79927

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Title: Objective review of de novo stand-alone error correction methods for NGS data
Author:
UPV Unit: Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
[EN] The sequencing market has increased steadily over the last few years, with different approaches to read DNA information prone to different types of errors. Multiple studies demonstrated the impact of sequencing errors ...[+]
Subjects: Burrows-Wheeler Transform , Short-Read Data , Sequencing Reads
Copyrigths: Reserva de todos los derechos
Source:
Wiley Interdisciplinary Reviews: Computational Molecular Science. (issn: 1759-0876 )
DOI: 10.1002/wcms.1239
Publisher:
Wiley
Publisher version: http://dx.doi.org/10.1002/wcms.1239
Thanks:
We want to thank our colleague Eloy Romero Alcale who has provided valuable advice regarding the structure of the document. This work was supported by Generalitat Valenciana [GRISOLIA/2013/013 to A.A.].
Type: Artículo

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