ArticleData in brief2026
Whole genome dataset of bacterial strains isolated from urine analysed by Oxford Nanopore sequencing technologies in Ouagadougou, Burkina Faso.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
9 authors.
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Abstract
A collection of 21 bacterial isolates recovered from urine specimens collected between September 2018 and February 2019 at Saint-Camille and SCHIPHRA hospitals in Ouagadougou, Burkina Faso, is presented. Isolates were identified using the API 20E system and tested for antibiotic susceptibility according to CASFM 2018 guidelines. Genomic DNA was extracted, barcoded with the SQK-RBK114.96 Rapid Barcoding Kit, and sequenced on an Oxford Nanopore MinION Mk1C using an R10.4.1 flowcell. Basecalling was performed with Dorado, and reads were quality filtered prior to de novo assembly with Flye, followed by polishing with Racon and Medaka. Assemblies were evaluated with QUAST, taxonomically assigned with Kraken2, and annotated with Bakta. The dataset comprises 21 barcode-specific raw read sets (1.5 million reads; 4.9 Gb), polished genome assemblies, per-isolate metadata including collection site, collection date, and antibiotic susceptibility measurements, and quality assessment outputs including read statistics, assembly metrics, and functional annotation completeness estimates. All data are available under NCBI BioProject PRJNA1307828. These data provide a useful resource for long-read bacterial genome assembly benchmarking, comparative genomics, and analyses integrating phenotypic and genomic antimicrobial resistance information.
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