Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

Obtaining accurate variant calls from multiple displacement amplified single cell DNA sequencing data needs dedicated models that account for amplification bias and copy errors. Here, the authors describe ProSolo, a model for calling single nucleotide variants with control over the false discovery r...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	David Lähnemann, Johannes Köster, Ute Fischer, Arndt Borkhardt, Alice C. McHardy, Alexander Schönhuth
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8db091b26b934b4bafe06184a93555fe
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8db091b26b934b4bafe06184a93555fe
record_format	dspace
spelling	oai:doaj.org-article:8db091b26b934b4bafe06184a93555fe2021-11-21T12:34:00ZAccurate and scalable variant calling from single cell DNA sequencing data with ProSolo10.1038/s41467-021-26938-w2041-1723https://doaj.org/article/8db091b26b934b4bafe06184a93555fe2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26938-whttps://doaj.org/toc/2041-1723Obtaining accurate variant calls from multiple displacement amplified single cell DNA sequencing data needs dedicated models that account for amplification bias and copy errors. Here, the authors describe ProSolo, a model for calling single nucleotide variants with control over the false discovery rate.David LähnemannJohannes KösterUte FischerArndt BorkhardtAlice C. McHardyAlexander SchönhuthNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q David Lähnemann Johannes Köster Ute Fischer Arndt Borkhardt Alice C. McHardy Alexander Schönhuth Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
description	Obtaining accurate variant calls from multiple displacement amplified single cell DNA sequencing data needs dedicated models that account for amplification bias and copy errors. Here, the authors describe ProSolo, a model for calling single nucleotide variants with control over the false discovery rate.
format	article
author	David Lähnemann Johannes Köster Ute Fischer Arndt Borkhardt Alice C. McHardy Alexander Schönhuth
author_facet	David Lähnemann Johannes Köster Ute Fischer Arndt Borkhardt Alice C. McHardy Alexander Schönhuth
author_sort	David Lähnemann
title	Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
title_short	Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
title_full	Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
title_fullStr	Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
title_full_unstemmed	Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
title_sort	accurate and scalable variant calling from single cell dna sequencing data with prosolo
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8db091b26b934b4bafe06184a93555fe
work_keys_str_mv	AT davidlahnemann accurateandscalablevariantcallingfromsinglecelldnasequencingdatawithprosolo AT johanneskoster accurateandscalablevariantcallingfromsinglecelldnasequencingdatawithprosolo AT utefischer accurateandscalablevariantcallingfromsinglecelldnasequencingdatawithprosolo AT arndtborkhardt accurateandscalablevariantcallingfromsinglecelldnasequencingdatawithprosolo AT alicecmchardy accurateandscalablevariantcallingfromsinglecelldnasequencingdatawithprosolo AT alexanderschonhuth accurateandscalablevariantcallingfromsinglecelldnasequencingdatawithprosolo
_version_	1718418957344440320

Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

Ejemplares similares