ARTICLE
Whole genomes from bacteria collected at diagnostic units around the world 2020
- Scientific Data , 10 : 628-628
Lien de l'article :
https://doi.org/10.1038/s41597-023-02502-7
Discipline :
Non spécifiée
Auteur(s) :
Sidsel Nag, Gunhild Larsen, Judit Szarvas, Laura Elmlund Kohl Birkedahl, Gábor Gulyás, Wojchiech Jakub Ciok, Timmie Mikkel Lagermann, Silva Tafaj, Susan Bradbury, Peter Collignon, Denise A Daley, Victorien Dougnon, Kafayath Fabiyi, Boubacar Coulibaly, Réné Dembelé, Georgette Nikiema, Natama Magloire, Isidore Juste Ouindgueta, Zenat Zebin Hossain, Anowara Begum, Deyan Donchev, Mathew Diggle, LeeAnn Turnbull, Simon Lévesque, Livia Berlinger, Kirstine K. Søgaard, Paula Díaz, Carolina Duarte Valderrama, Panagiota Maikanti, Jana Amlerová, Pavel Dřevı́nek, Jan Tkadlec, Milica Dilas, Achim J. Kaasch, Henrik Westh, Mohamed Azzedine Bachtarzi, Wahiba Amhis, Carolina Elisabeth Satán Salazar, JoséEduardo Villacis, Mária Angeles Dominguez Lúzon, Dàmaris Berbel, Claire Duployez, Maxime Paluche, Solomon Asante-Sefa, M. Moller, Margaret Ip, Ivana Mareković, Ágnes Sonnevend, Clementiza Elvezia Cocuzza, Asta Dambrauskienė, Alexandre Macanze, Anélsio Cossa, Inácio Mandomando, Philip Nwajiobi-Princewill, Iruka N. Okeke, Aderemi Kehinde, Ini Adebiyi, Ifeoluwa Akintayo, Oluwafemi Popoola, Anthony Onipede, Anita Blomfeldt, Nora Elisabeth Nyquist, Kiri Bocker, James E. Ussher, Amjad Ali, Nimat Ullah, Habib Ullah Khan, Natalie Weiler Gustafson, Ikhlas Jarrar, Arif Al-Hamad, Viravarn Luvira, Wantana Paveenkittiporn, Irmak Baran, James Mwansa, Linda Sikakwa, Kaunda Yamba, René S. Hendriksen, Frank M. Aarestrup
Auteur(s) tagués :
DEMBELE René
Renseignée par : DEMBELE René
Résumé
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.
Mots-clés
Genome, Bacteria, Biology, Computational biology, Evolutionary biology, Genetics, Gene