Evidence map›Paper›PMID 39266944›Full record

ArticleBMC genomics2024

Optimizing next-generation sequencing efficiency in clinical settings: analysis of read length impact on cost and performance.

Pedro Milet Meirelles, Pablo Alessandro B Viana, Diogo Antonio Tschoeke, Laise de Moraes, Luciane Amorim Santos, Manoel Barral-Netto, Ricardo Khouri, Pablo Ivan P Ramos

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Pedro Milet MeirellesInstitute of Biology, Federal University of Bahia (UFBA), Salvador, Bahia, 41745-715, Brazil. pmeirelles@ufba.br.
Pablo Alessandro B VianaInstitute of Biology, Federal University of Bahia (UFBA), Salvador, Bahia, 41745-715, Brazil.
Diogo Antonio TschoekeHealth Systems Engineering Laboratory, Alberto Luiz Coimbra Institute of Graduate Studies and Engineering Research (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Laise de MoraesLaboratory of Precision Medicine and Public Health (MESP 2), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (Fiocruz), Salvador, Bahia, Brazil.
Luciane Amorim SantosLaboratory of Precision Medicine and Public Health (MESP 2), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (Fiocruz), Salvador, Bahia, Brazil.
Manoel Barral-NettoLaboratory of Precision Medicine and Public Health (MESP 2), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (Fiocruz), Salvador, Bahia, Brazil.
Ricardo KhouriLaboratory of Precision Medicine and Public Health (MESP 2), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (Fiocruz), Salvador, Bahia, Brazil.
Pablo Ivan P RamosCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (Fiocruz), Salvador, Bahia, Brazil.

Funding

Rockefeller Foundation 2023-PPI-007
6 · The paper itself

Abstract

backgroundThe expansion of sequencing technologies as a result of the response to the COVID-19 pandemic enabled pathogen (meta)genomics to be deployed as a routine component of surveillance in many countries. Scaling genomic surveillance, however, comes with associated costs in both equipment and sequencing reagents, which should be optimized. Here, we evaluate the cost efficiency and performance of different read lengths in identifying pathogens in metagenomic samples. We carefully evaluated performance metrics, costs, and time requirements relative to choices of 75, 150 and 300 base pairs (bp) read lengths in pathogen identification.

resultsOur findings revealed that moving from 75 bp to 150 bp read length approximately doubles both the cost and sequencing time. Opting for 300 bp reads leads to approximately two- and three-fold increases, respectively, in cost and sequencing time compared to 75 bp reads. For viral pathogen detection, the sensitivity median ranged from 99% with 75 bp reads to 100% with 150-300 bp reads. However, bacterial pathogens detection was less effective with shorter reads: 87% with 75 bp, 95% with 150 bp, and 97% with 300 bp reads. These findings were consistent across different levels of taxa abundance. The precision of pathogen detection using shorter reads was comparable to that of longer reads across most viral and bacterial taxa.

conclusionsDuring disease outbreak situations, when swift responses are required for pathogen identification, we suggest prioritizing 75 bp read lengths, especially if detection of viral pathogens is aimed. This practical approach allows better use of resources, enabling the sequencing of more samples using streamlined workflows, while maintaining a reliable response capability.

Indexed as

COVID-19High-Throughput Nucleotide SequencingMetagenomicsSARS-CoV-2BacteriaHumansCost efficiencyHealth surveillanceMetagenomicsPathogen detection

Identifiers

PMID39266944
PMCPMC11396997

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.