SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data

Laboratories that run Whole Genome Sequencing (WGS) produce a tremendous amount of data, up to 10 gigabytes for some common instruments. There is a need to standardize the quality assurance and quality control process (QA/QC). Therefore we have created SneakerNet to automate the QA/QC for WGS.

Detalles Bibliográficos
Autores principales: Griswold, Taylor, Kapsak, Curtis, Chen, Jessica C., den Bakker, Henk C., Williams, Grant, Kelley, Alyssa, Vidyaprakash, Eshaw, Katz, Lee S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967262/
https://www.ncbi.nlm.nih.gov/pubmed/35360664
http://dx.doi.org/10.21105/joss.02334
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author Griswold, Taylor
Kapsak, Curtis
Chen, Jessica C.
den Bakker, Henk C.
Williams, Grant
Kelley, Alyssa
Vidyaprakash, Eshaw
Katz, Lee S.
author_facet Griswold, Taylor
Kapsak, Curtis
Chen, Jessica C.
den Bakker, Henk C.
Williams, Grant
Kelley, Alyssa
Vidyaprakash, Eshaw
Katz, Lee S.
author_sort Griswold, Taylor
collection PubMed
description Laboratories that run Whole Genome Sequencing (WGS) produce a tremendous amount of data, up to 10 gigabytes for some common instruments. There is a need to standardize the quality assurance and quality control process (QA/QC). Therefore we have created SneakerNet to automate the QA/QC for WGS.
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spelling pubmed-89672622022-03-30 SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data Griswold, Taylor Kapsak, Curtis Chen, Jessica C. den Bakker, Henk C. Williams, Grant Kelley, Alyssa Vidyaprakash, Eshaw Katz, Lee S. J Open Source Softw Article Laboratories that run Whole Genome Sequencing (WGS) produce a tremendous amount of data, up to 10 gigabytes for some common instruments. There is a need to standardize the quality assurance and quality control process (QA/QC). Therefore we have created SneakerNet to automate the QA/QC for WGS. 2021-04-16 /pmc/articles/PMC8967262/ /pubmed/35360664 http://dx.doi.org/10.21105/joss.02334 Text en https://creativecommons.org/licenses/by/4.0/License Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Griswold, Taylor
Kapsak, Curtis
Chen, Jessica C.
den Bakker, Henk C.
Williams, Grant
Kelley, Alyssa
Vidyaprakash, Eshaw
Katz, Lee S.
SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
title SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
title_full SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
title_fullStr SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
title_full_unstemmed SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
title_short SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
title_sort sneakernet: a modular quality assurance and quality check workflow for primary genomic and metagenomic read data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967262/
https://www.ncbi.nlm.nih.gov/pubmed/35360664
http://dx.doi.org/10.21105/joss.02334
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