Evidence map›Paper›PMID 29870330›Full record

ArticleMicrobial genomics2018

SeroBA: rapid high-throughput serotyping of Streptococcus pneumoniae from whole genome sequence data.

Lennard Epping, Andries J van Tonder, Rebecca A Gladstone, The Global Pneumococcal Sequencing Consortium, Stephen D Bentley, Andrew J Page, Jacqueline A Keane

Erratum issuedAbstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 112 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 1 pooled it
–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

112 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Genomic epidemiology ofMicrobial genomics · 2026
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  14. Emergence of multidrug-resistant ST876 serotype 14Frontiers in cellular and infection microbiology · 2026
    Article
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  16. Population snapshot ofMicrobial genomics · 2025
    Article
  17. Article
  18. Article
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52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lennard Epping2​Microbial Genomics, Robert Koch Institute, Berlin, Germany.
Andries J van Tonder3​Infection Genomics, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
Rebecca A Gladstone3​Infection Genomics, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
The Global Pneumococcal Sequencing Consortium
Stephen D Bentley3​Infection Genomics, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
Andrew J Page1​Pathogen Informatics, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
Jacqueline A Keane1​Pathogen Informatics, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.

Funding

Wellcome TrustWellcome Trust WT 098051
6 · The paper itself

Abstract

Streptococcus pneumoniae is responsible for 240 000-460 000 deaths in children under 5 years of age each year. Accurate identification of pneumococcal serotypes is important for tracking the distribution and evolution of serotypes following the introduction of effective vaccines. Recent efforts have been made to infer serotypes directly from genomic data but current software approaches are limited and do not scale well. Here, we introduce a novel method, SeroBA, which uses a k-mer approach. We compare SeroBA against real and simulated data and present results on the concordance and computational performance against a validation dataset, the robustness and scalability when analysing a large dataset, and the impact of varying the depth of coverage on sequence-based serotyping. SeroBA can predict serotypes, by identifying the cps locus, directly from raw whole genome sequencing read data with 98 % concordance using a k-mer-based method, can process 10 000 samples in just over 1 day using a standard server and can call serotypes at a coverage as low as 15-21×. SeroBA is implemented in Python3 and is freely available under an open source GPLv3 licence from: https://github.com/sanger-pathogens/seroba.

Indexed as

SoftwareWhole Genome SequencingAllelesChild, PreschoolDatabases, GeneticGenes, BacterialHigh-Throughput Nucleotide SequencingHumansPneumococcal InfectionsPolymorphism, Single NucleotideSensitivity and SpecificitySerogroupSerotypingStreptococcus mitisStreptococcus pneumoniaek-mer methodpneumococcalserotypingStreptococcus pneumoniaewhole genome sequencing

Identifiers

PMID29870330
PMCPMC6113868

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.