Academic Journal

Synthetic DNA spike-ins (SDSIs) enable sample tracking and detection of inter-sample contamination in SARS-CoV-2 sequencing workflows

التفاصيل البيبلوغرافية
العنوان: Synthetic DNA spike-ins (SDSIs) enable sample tracking and detection of inter-sample contamination in SARS-CoV-2 sequencing workflows
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
الوصف
DOI:10.1038/s41564-021-01019-2