دورية أكاديمية

A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria

التفاصيل البيبلوغرافية
العنوان: A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria
المؤلفون: Hidayat Trimarsanto, Roberto Amato, Richard D. Pearson, Edwin Sutanto, Rintis Noviyanti, Leily Trianty, Jutta Marfurt, Zuleima Pava, Diego F. Echeverry, Tatiana M. Lopera-Mesa, Lidia M. Montenegro, Alberto Tobón-Castaño, Matthew J. Grigg, Bridget Barber, Timothy William, Nicholas M. Anstey, Sisay Getachew, Beyene Petros, Abraham Aseffa, Ashenafi Assefa, Awab G. Rahim, Nguyen H. Chau, Tran T. Hien, Mohammad S. Alam, Wasif A. Khan, Benedikt Ley, Kamala Thriemer, Sonam Wangchuck, Yaghoob Hamedi, Ishag Adam, Yaobao Liu, Qi Gao, Kanlaya Sriprawat, Marcelo U. Ferreira, Moses Laman, Alyssa Barry, Ivo Mueller, Marcus V. G. Lacerda, Alejandro Llanos-Cuentas, Srivicha Krudsood, Chanthap Lon, Rezika Mohammed, Daniel Yilma, Dhelio B. Pereira, Fe E. J. Espino, Cindy S. Chu, Iván D. Vélez, Chayadol Namaik-larp, Maria F. Villegas, Justin A. Green, Gavin Koh, Julian C. Rayner, Eleanor Drury, Sónia Gonçalves, Victoria Simpson, Olivo Miotto, Alistair Miles, Nicholas J. White, Francois Nosten, Dominic P. Kwiatkowski, Ric N. Price, Sarah Auburn
المصدر: Communications Biology, Vol 5, Iss 1, Pp 1-10 (2022)
بيانات النشر: Nature Portfolio, 2022.
سنة النشر: 2022
المجموعة: LCC:Biology (General)
مصطلحات موضوعية: Biology (General), QH301-705.5
الوصف: An online, amendable classifier for detecting malaria parasite country of origin from genomic data is developed using a machine learning approach.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2399-3642
Relation: https://doaj.org/toc/2399-3642
DOI: 10.1038/s42003-022-04352-2
URL الوصول: https://doaj.org/article/595d6999c2294de5a765b7b051ac5f17
رقم الأكسشن: edsdoj.595d6999c2294de5a765b7b051ac5f17
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23993642
DOI:10.1038/s42003-022-04352-2