Evidence map›Paper›PMID 31887656›Full record

ArticleiScience2020

BacPipe: A Rapid, User-Friendly Whole-Genome Sequencing Pipeline for Clinical Diagnostic Bacteriology.

Basil B Xavier, Mohamed Mysara, Mattia Bolzan, Bruno Ribeiro-Gonçalves, Blaise T F Alako, Peter Harrison, Christine Lammens, Samir Kumar-Singh, Herman Goossens, João A Carriço and 2 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

31 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Antimicrobial agents and chemotherapy · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. BacExplorer: an integrated platform forBioinformatics advances · 2025
    Article
  8. Observational
  9. Article
  10. Genomic epidemiological analysis of a single-centre polyclonal outbreak ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

12 authors at 4 institutions in 3 countries.

Basil B XavierLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp 2610, Belgium.
Mohamed MysaraLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp 2610, Belgium; Microbiology Unit, Belgian Nuclear Research Center (SCK•CEN), Mol 2400, Belgium.
Mattia BolzanLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium.
Bruno Ribeiro-GonçalvesInstituto de Microbiologia and Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Professor Egaz Moniz, Lisboa 1649-028, Portugal.
Blaise T F AlakoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Peter HarrisonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Christine LammensLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp 2610, Belgium.
Samir Kumar-SinghLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium; Molecular Pathology Group, Cell Biology and Histology, University of Antwerp, Antwerp 2610, Belgium.
Herman GoossensLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp 2610, Belgium.
João A CarriçoInstituto de Microbiologia and Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Professor Egaz Moniz, Lisboa 1649-028, Portugal.
Guy CochraneEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Surbhi Malhotra-KumarLaboratory of Medical Microbiology, Campus Drie Eiken, University of Antwerp, S6, Universiteitsplein 1, B-2610 Wilrijk, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp 2610, Belgium. Electronic address: surbhi.malhotra@uantwerpen.be.
University of Antwerp · BEEuropean Bioinformatics Institute · GBUniversity of Lisbon · PTBelgian Nuclear Research Centre · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite rapid advances in whole genome sequencing (WGS) technologies, their integration into routine microbiological diagnostics has been hampered by the lack of standardized downstream bioinformatics analysis. We developed a comprehensive and computationally low-resource bioinformatics pipeline (BacPipe) enabling direct analyses of bacterial whole-genome sequences (raw reads or contigs) obtained from second- or third-generation sequencing technologies. A graphical user interface was developed to visualize real-time progression of the analysis. The scalability and speed of BacPipe in handling large datasets was demonstrated using 4,139 Illumina paired-end sequence files of publicly available bacterial genomes (2.9-5.4 Mb) from the European Nucleotide Archive. BacPipe is integrated in EBI-SELECTA, a project-specific portal (H2020-COMPARE), and is available as an independent docker image that can be used across Windows- and Unix-based systems. BacPipe offers a fully automated "one-stop" bacterial WGS analysis pipeline to overcome the major hurdle of WGS data analysis in hospitals and public-health and for infection control monitoring.

Indexed as

Biological Sciences Research MethodologiesMicrobiologySequence Analysis

Identifiers

PMID31887656
PMCPMC6941874
OpenAlexW2996188899

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.