Academic Journal
Synthetic DNA spike-ins (SDSIs) enable sample tracking and detection of inter-sample contamination in SARS-CoV-2 sequencing workflows
العنوان: | Synthetic DNA spike-ins (SDSIs) enable sample tracking and detection of inter-sample contamination in SARS-CoV-2 sequencing workflows |
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المؤلفون: | Lagerborg, Kim A., Normandin, Erica, Bauer, Matthew R., Adams, Gordon, Figueroa, Katherine, Loreth, Christine, Gladden-Young, Adrianne, Shaw, Bennett M., Pearlman, Leah R., Berenzy, Daniel, Dewey, Hannah B., Kales, Susan, Dobbins, Sabrina T., Shenoy, Erica S., Hooper, David, Pierce, Virginia M., Zachary, Kimon C., Park, Daniel J., MacInnis, Bronwyn L., Tewhey, Ryan, Lemieux, Jacob E., Sabeti, Pardis C., Reilly, Steven K., Siddle, Katherine J. |
المساهمون: | U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute, U.S. Department of Health & Human Services | Centers for Disease Control and Prevention, Doris Duke Charitable Foundation, U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases, Howard Hughes Medical Institute |
المصدر: | Nature Microbiology ; volume 7, issue 1, page 108-119 ; ISSN 2058-5276 |
بيانات النشر: | Springer Science and Business Media LLC |
سنة النشر: | 2021 |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1038/s41564-021-01019-2 |
الاتاحة: | http://dx.doi.org/10.1038/s41564-021-01019-2 https://www.nature.com/articles/s41564-021-01019-2.pdf https://www.nature.com/articles/s41564-021-01019-2 |
Rights: | https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining |
رقم الانضمام: | edsbas.36741312 |
قاعدة البيانات: | BASE |
DOI: | 10.1038/s41564-021-01019-2 |
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