Communications Biology (Dec 2022)

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

  • 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

DOI
https://doi.org/10.1038/s42003-022-04352-2
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 10

Abstract

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An online, amendable classifier for detecting malaria parasite country of origin from genomic data is developed using a machine learning approach.