Evidence map›Paper›PMID 33271875›Full record

ArticleInternational journal of molecular sciences2020

Benchmarking Long-Read Assemblers for Genomic Analyses of Bacterial Pathogens Using Oxford Nanopore Sequencing.

Zhao Chen, David L Erickson, Jianghong Meng

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  20. Comparison of De Novo Assembly Strategies for Bacterial Genomes.International journal of molecular sciences · 2021
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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

3 authors at 1 institution in 1 country.

Zhao ChenJoint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, Department of Nutrition and Food Science, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0002-1784-167X
David L EricksonJoint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, Department of Nutrition and Food Science, University of Maryland, College Park, MD 20742, USA.
Jianghong MengJoint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, Department of Nutrition and Food Science, University of Maryland, College Park, MD 20742, USA.
Center for Food Safety and Applied Nutrition · US

Funding

U.S. Food and Drug Administration U01FD001418
6 · The paper itself

Abstract

Oxford Nanopore sequencing can be used to achieve complete bacterial genomes. However, the error rates of Oxford Nanopore long reads are greater compared to Illumina short reads. Long-read assemblers using a variety of assembly algorithms have been developed to overcome this deficiency, which have not been benchmarked for genomic analyses of bacterial pathogens using Oxford Nanopore long reads. In this study, long-read assemblers, namely Canu, Flye, Miniasm/Racon, Raven, Redbean, and Shasta, were thus benchmarked using Oxford Nanopore long reads of bacterial pathogens. Ten species were tested for mediocre- and low-quality simulated reads, and 10 species were tested for real reads. Raven was the most robust assembler, obtaining complete and accurate genomes. All Miniasm/Racon and Raven assemblies of mediocre-quality reads provided accurate antimicrobial resistance (AMR) profiles, while the Raven assembly of

Indexed as

Genome, BacterialBacteriaComputational BiologyDrug Resistance, BacterialGenomicsHigh-Throughput Nucleotide SequencingMultilocus Sequence TypingPhylogenyReproducibility of ResultsVirulenceVirulence FactorsVirulence Factorsbacterial pathogenbenchmarkinggenome assemblygenomic analysislong-read assemblerlong-read sequencingOxford Nanopore sequencingwhole-genome sequencing

Identifiers

PMID33271875
PMCPMC7730629
OpenAlexW3108154070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.