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.

doi:10.21105/joss.02334

i

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

Supporting Files

4 16 2021
By Griswold, Taylor ; Kapsak, Curtis ; Chen, Jessica C. ; ...

File Language:

English

Details

Alternative Title:

J Open Source Softw
Personal Author:

Griswold, Taylor ; Kapsak, Curtis ; Chen, Jessica C. ; den Bakker, Henk C. ; Williams, Grant ; Kelley, Alyssa ; Vidyaprakash, Eshaw ; Katz, Lee S.
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.
Subjects:

Article
Source:

J Open Source Softw. 6(60)
Pubmed ID:

35360664
Pubmed Central ID:

PMC8967262
Document Type:

Journal Article
Funding:

CC999999/ImCDC/Intramural CDC HHSUnited States/
Volume:

6
Issue:

60
Collection(s):

CDC Public Access
Main Document Checksum:

urn:sha256:c9ddbd75774bf74ed54d60a622cd57301d42d407fe3dd25de6fe4ad4b9c15829
Download URL:

https://stacks.cdc.gov/view/cdc/115861/cdc_115861_DS1.pdf
File Type:

[PDF - 37.83 KB ]

nihms-1781366.nxml

Download xml

File Language:

English

ON THIS PAGE

Details Supporting Files

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.