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

Bibliographische Detailangaben
Veröffentlicht in:Journal of open source software. - 2017. - 6(2021), 60 vom: 16. Apr.
1. Verfasser: Griswold, Taylor (VerfasserIn)
Weitere Verfasser: Kapsak, Curtis, Chen, Jessica C, den Bakker, Henk C, Williams, Grant, Kelley, Alyssa, Vidyaprakash, Eshaw, Katz, Lee S
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Journal of open source software
Schlagworte:Journal Article
Beschreibung
Zusammenfassung: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
Beschreibung:Date Revised 05.04.2022
published: Print
Citation Status PubMed-not-MEDLINE
ISSN:2475-9066
DOI:10.21105/joss.02334