Evidence map›Paper›PMID 30832565›Full record

ArticleBMC genomics2019

Gen2Epi: an automated whole-genome sequencing pipeline for linking full genomes to antimicrobial susceptibility and molecular epidemiological data in Neisseria gonorrhoeae.

Reema Singh, Jo-Anne R Dillon, Walter Demczuk, Anthony Kusalik

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Reema SinghDepartment of Biochemistry Microbiology and Immunology, 2D01 Health Science Building, 107 Wiggins Road, University of Saskatchewan, Saskatoon, SK, S7N5E5, Canada.
Jo-Anne R DillonDepartment of Biochemistry Microbiology and Immunology, 2D01 Health Science Building, 107 Wiggins Road, University of Saskatchewan, Saskatoon, SK, S7N5E5, Canada. j.dillon@usask.ca.
Walter DemczukPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada.
Anthony KusalikDepartment of Computer Science, University of Saskatchewan, 176 Thorvaldson Building, 110 Science Place, University of Saskatchewan, Saskatoon, SK, S7N5C9, Canada. kusalik@cs.usask.ca.

Funding

Canadian Institutes of Health Research 418246
6 · The paper itself

Abstract

backgroundRecent adva1nces in whole genome sequencing (WGS) based technologies have facilitated multi-step applications for predicting antimicrobial resistance (AMR) and investigating the molecular epidemiology of Neisseria gonorrhoeae. However, generating full scaffolds of N. gonorrhoeae genomes from short reads, and the assignment of molecular epidemiological information (NG-MLST, NG-MAST, and NG-STAR) to multiple assembled samples, is challenging due to required manual tasks such as annotating antimicrobial resistance determinants with standard nomenclature for a large number of genomes.

resultsWe present Gen2Epi, a pipeline that assembles short reads into full scaffolds and automatically assigns molecular epidemiological and AMR information to the assembled genomes. Gen2Epi is a command-line tool integrating third-party software and tailored specifically for N. gonorrhoeae. For its evaluation, the Gen2Epi pipeline successfully assembled the WGS short reads from 1484 N. gonorrhoeae samples into full-length genomes for both chromosomes and plasmids and was able to assign in silico molecular determinant information to each dataset automatically. The assemblies were generated using raw as well as trimmed short reads. The median genome coverage of full-length scaffolds and "N" statistics (N50, NG50, and NGA50) were higher than, or comparable to, previously published results and the scaffolding process improved the quality of the draft genome assemblies. Molecular antimicrobial resistant (AMR) determinants identified by Gen2Epi reproduced information for the 1484 samples as previously reported, including NG-MLST, NG-MAST, and NG-STAR molecular sequence types.

conclusionsGen2Epi can be used to assemble short reads into full-length genomes and assign accurate molecular marker and AMR information automatically from NG-STAR, NG-MAST, and NG-MLST. Gen2Epi is publicly available under "CC BY-NC 2.0 CA" Creative Commons licensing as a VirtualBox image containing the constituent software components running on the LINUX operating system (CentOS 7). The image and associated documentation are available via anonymous FTP at ftp://www.cs.usask.ca/pub/combi or ftp://ftp.cs.usask.ca/pub/combi.

Indexed as

Anti-Infective AgentsDrug Resistance, BacterialGenome, BacterialGonorrheaHumansMicrobial Sensitivity TestsMolecular EpidemiologyMultilocus Sequence TypingNeisseria gonorrhoeaeWhole Genome SequencingAnti-Infective AgentsAntimicrobial resistanceBioinformaticsDe novo genome assemblyMolecular epidemiologyMolecular typingNeisseria gonorrhoeaeScaffoldingStrain typingWhole-genome sequencing (WGS)

Identifiers

PMID30832565
PMCPMC6398234

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.