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
Descripción
Sumario: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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