← Back to Nuqta Atlas

Repository series · ncbi-prjna656934

Whole genome sequencing approach to characterize the antimicrobial resistance genes from ESBL and carbapenemase Producing Enterobacteriaceae in Qatar

QatarPathogen genomics and infectious diseaseRepository record

The project aims to use the whole genome sequencing approach to characterize antimicrobial resistance genes from ESBL and carbapenemase Producing Enterobacteriaceae in HMC, Qatar Raw sequence reads

Repository interpretation

The accession and its GCC connection are verified. Registration alone does not establish that the broader research programme remains active.

01 / Project overview

What the record establishes.

Geographic scope
Qatar connection indexed in BioProject metadata
Project type
Repository project
Research domain
Pathogen genomics and infectious disease
Years
2020–
Lifecycle status
repository_recorded
Status basis
Registered in NCBI BioProject on 2020/08/13; operational lifecycle is not asserted.
Status evidence date
2020-08-13
Scale
1 BioProject accession grouped by matching submitter, date, data type and narrative.

02 / Organizations and population

Who and what the project connects.

Lead organizations
Sidra Medicine
Partner organizations
Not stated
Organism / population
Not stated

03 / Data and access

What exists and how it can be reached.

Data types

  • Genome sequencing and assembly
  • Sequencing
  • Genome

Data access

Public repository metadata with linked data where supplied by the submitter

Identifiers

  • BioProjectPRJNA656934

04 / Evidence and provenance

Why the record is included.

Inclusion basis

Exact country-name match in authoritative NCBI BioProject metadata; repeated submissions are grouped into one Atlas series.

Editorial note

Repository verification confirms the accession and regional connection, not whether the broader research programme remains active.

Sources

  1. primary record source Verified 2026-08-15

Release v0.2.0

Take the public record with you.

Projects CSVSources CSVIdentifiers CSV