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

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作者
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
机构
[1] Technical University of Denmark,National Food Institute
[2] Kemitorvet,Microbiology Department
[3] Kgs,Research Unit in Applied Microbiology and Pharmacology of Natural Substances, Polytechnic School of Abomey
[4] University Hospital “Shefqet Ndroqi”,Calavi
[5] Rruga Dr. Shefqet Ndroqi. Sauk,Department of Laboratory
[6] Microbiology Department,Training and Research Unit in Applied Sciences and Technologies/Biochemistry
[7] Canberra Hospital,microbiology
[8] Gilmore Cresent,Department of Microbiology
[9] Department of Microbiology,Clinical Laboratory of Microbiology and Virology
[10] PathWest Laboratory Medicine,Division of Clinical Bacteriology and Mycology
[11] Fiona Stanley Hospital,Department of Microbiology
[12] University of Abomey-Calavi,Department of Medical Microbiology
[13] 01 PO Box,Department of Pathology and Experimental Therapy
[14] Abomey-Calavi,Microbiology Department
[15] Nouna Health Research Centre,Institute of Microbiology
[16] Rue Namory Keita,Department of Clinical and Molecular Microbiology
[17] University of Dedougou,Medical Microbiology and Immunology
[18] Clinical Research Unit of Nanoro,Department of Medicine and Surgery
[19] National Institutes of Medical Research,Laboratory Medicine Department
[20] Department,Faculty of Pharmacy
[21] University of Joseph KI-ZERBO,College of Medicine
[22] Street,Department of Microbiology and Infection Control
[23] University of Dhaka,Southern Community Laboratories
[24] University Hospital “Lozenetz”,Department of Industrial Biotechnology, Atta
[25] Str. Kozyak 1,ur
[26] Sofia,Rahman School of Applied Biosciences
[27] Alberta Precision Laboratories,Molecular Diagnostic Section
[28] Service de microbiologie,Departamento de Bacteriologia
[29] Centre Integré Universitaire de Santé et de services sociaux de l’Estrie - Centre Hospitalier Universitaire de Sherbrooke,Basic Medical Sciences Department
[30] Department,Division of Clinical Microbiology
[31] Bioanalytica AG,Department of Clinical Tropical Medicine, Faculty of Tropical Medicine
[32] University Hospital Basel,Department of Medical Sciences
[33] Microbiology Group,Medical Microbiology Department
[34] Instituto Nacional de Salud,undefined
[35] Charalampous,undefined
[36] Microbiology Department,undefined
[37] National Reference Laboratory for Antimicrobial Resistance Surveillance,undefined
[38] Nicosia General Hospital,undefined
[39] 215,undefined
[40] Paleos Dromos Lefkosia-Lemesos str.,undefined
[41] Strovolos,undefined
[42] University Hospital in Plzen,undefined
[43] Motol University Hospital,undefined
[44] Otto-von-Guericke University,undefined
[45] Klinisk Mikrobiologisk Afdeling,undefined
[46] Hvidovre Hospital,undefined
[47] Kettegårds Allé,undefined
[48] Laboratoire de Microbiologie Clinique,undefined
[49] Centre Hospitalo-universitaire,undefined
[50] National Reference Center for Antimicrobial Resistance,undefined
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摘要
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.
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