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A statistical method for the detection of variants from next-generation resequencing of DNA pools

Detalles Bibliográficos
Autor principal: Bansal, Vikas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048073/
https://www.ncbi.nlm.nih.gov/pubmed/27578802
http://dx.doi.org/10.1093/bioinformatics/btw520
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spelling pubmed-50480732016-10-26 A statistical method for the detection of variants from next-generation resequencing of DNA pools Bansal, Vikas Bioinformatics Corrigendum Oxford University Press 2016-10-15 2016-08-29 /pmc/articles/PMC5048073/ /pubmed/27578802 http://dx.doi.org/10.1093/bioinformatics/btw520 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Corrigendum
Bansal, Vikas
A statistical method for the detection of variants from next-generation resequencing of DNA pools
title A statistical method for the detection of variants from next-generation resequencing of DNA pools
title_full A statistical method for the detection of variants from next-generation resequencing of DNA pools
title_fullStr A statistical method for the detection of variants from next-generation resequencing of DNA pools
title_full_unstemmed A statistical method for the detection of variants from next-generation resequencing of DNA pools
title_short A statistical method for the detection of variants from next-generation resequencing of DNA pools
title_sort statistical method for the detection of variants from next-generation resequencing of dna pools
topic Corrigendum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048073/
https://www.ncbi.nlm.nih.gov/pubmed/27578802
http://dx.doi.org/10.1093/bioinformatics/btw520
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