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|a 10.21105/joss.02334
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|a eng
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1 |
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|a Griswold, Taylor
|e verfasserin
|4 aut
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| 245 |
1 |
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|a SneakerNet
|b A modular quality assurance and quality check workflow for primary genomic and metagenomic read data
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 05.04.2022
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a 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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|a Journal Article
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1 |
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|a Kapsak, Curtis
|e verfasserin
|4 aut
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1 |
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|a Chen, Jessica C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a den Bakker, Henk C
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Williams, Grant
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kelley, Alyssa
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Vidyaprakash, Eshaw
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Katz, Lee S
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of open source software
|d 2017
|g 6(2021), 60 vom: 16. Apr.
|w (DE-627)NLM275088057
|x 2475-9066
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|g year:2021
|g number:60
|g day:16
|g month:04
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|u http://dx.doi.org/10.21105/joss.02334
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