Scientific Data (Sep 2023)

Whole genomes from bacteria collected at diagnostic units around the world 2020

  • Sidsel Nag,
  • Gunhild Larsen,
  • Judit Szarvas,
  • Laura Elmlund Kohl Birkedahl,
  • Gábor Máté Gulyás,
  • Wojchiech Jakub Ciok,
  • Timmie Mikkel Lagermann,
  • Silva Tafaj,
  • Susan Bradbury,
  • Peter Collignon,
  • Denise Daley,
  • Victorien Dougnon,
  • Kafayath Fabiyi,
  • Boubacar Coulibaly,
  • René Dembélé,
  • Georgette Nikiema,
  • Natama Magloire,
  • Isidore Juste Ouindgueta,
  • Zenat Zebin Hossain,
  • Anowara Begum,
  • Deyan Donchev,
  • Mathew Diggle,
  • LeeAnn Turnbull,
  • Simon Lévesque,
  • Livia Berlinger,
  • Kirstine Kobberoe Sogaard,
  • Paula Diaz Guevara,
  • Carolina Duarte Valderrama,
  • Panagiota Maikanti,
  • Jana Amlerova,
  • Pavel Drevinek,
  • Jan Tkadlec,
  • Milica Dilas,
  • Achim Kaasch,
  • Henrik Torkil Westh,
  • Mohamed Azzedine Bachtarzi,
  • Wahiba Amhis,
  • Carolina Elisabeth Satán Salazar,
  • JoséEduardo Villacis,
  • Mária Angeles Dominguez Lúzon,
  • Dámaris Berbel Palau,
  • Claire Duployez,
  • Maxime Paluche,
  • Solomon Asante-Sefa,
  • Mie Moller,
  • Margaret Ip,
  • Ivana Mareković,
  • Agnes Pál-Sonnevend,
  • Clementiza Elvezia Cocuzza,
  • Asta Dambrauskiene,
  • Alexandre Macanze,
  • Anelsio Cossa,
  • Inácio Mandomando,
  • Philip Nwajiobi-Princewill,
  • Iruka N. Okeke,
  • Aderemi O. Kehinde,
  • Ini Adebiyi,
  • Ifeoluwa Akintayo,
  • Oluwafemi Popoola,
  • Anthony Onipede,
  • Anita Blomfeldt,
  • Nora Elisabeth Nyquist,
  • Kiri Bocker,
  • James Ussher,
  • Amjad Ali,
  • Nimat Ullah,
  • Habibullah Khan,
  • Natalie Weiler Gustafson,
  • Ikhlas Jarrar,
  • Arif Al-Hamad,
  • Viravarn Luvira,
  • Wantana Paveenkittiporn,
  • Irmak Baran,
  • James C. L. Mwansa,
  • Linda Sikakwa,
  • Kaunda Yamba,
  • Rene Sjogren Hendriksen,
  • Frank Moller Aarestrup

DOI
https://doi.org/10.1038/s41597-023-02502-7
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

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Abstract The Two Weeks in the World research project has resulted in a dataset of 3087 clinically relevant bacterial genomes with pertaining metadata, collected from 59 diagnostic units in 35 countries around the world during 2020. A relational database is available with metadata and summary data from selected bioinformatic analysis, such as species prediction and identification of acquired resistance genes.