Evidence map›Paper›PMID 18332092›Full record

ArticleGenome research2008

De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer.

David Hernandez, Patrice François, Laurent Farinelli, Magne Osterås, Jacques Schrenzel

Abstract read
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 300 papers.

0numbers the graph read from it
0cells of the map it votes in
300citing 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

300 citing papers in PubMed.

  1. Article
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  3. Article
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  7. Article
  8. Article
  9. Genomic Characterization ofAntibiotics (Basel, Switzerland) · 2023
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  11. Analysis ofPeerJ · 2023
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  12. Hybrid Genomic Analysis ofMicroorganisms · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Bacteriocin ProducingMicroorganisms · 2022
    Article
  19. Article
  20. Article

240 more citing papers are in PubMed but not listed here.

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

5 authors.

David HernandezGenomic Research Laboratory, Infectious Diseases Service, Geneva University Hospitals and the University of Geneva, CH-1211 Geneva 4, Switzerland. david.hernandez@genomic.ch
Patrice François
Laurent Farinelli
Magne Osterås
Jacques Schrenzel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel high-throughput DNA sequencing technologies allow researchers to characterize a bacterial genome during a single experiment and at a moderate cost. However, the increase in sequencing throughput that is allowed by using such platforms is obtained at the expense of individual sequence read length, which must be assembled into longer contigs to be exploitable. This study focuses on the Illumina sequencing platform that produces millions of very short sequences that are 35 bases in length. We propose a de novo assembler software that is dedicated to process such data. Based on a classical overlap graph representation and on the detection of potentially spurious reads, our software generates a set of accurate contigs of several kilobases that cover most of the bacterial genome. The assembly results were validated by comparing data sets that were obtained experimentally for Staphylococcus aureus strain MW2 and Helicobacter acinonychis strain Sheeba with that of their published genomes acquired by conventional sequencing of 1.5- to 3.0-kb fragments. We also provide indications that the broad coverage achieved by high-throughput sequencing might allow for the detection of clonal polymorphisms in the set of DNA molecules being sequenced.

Indexed as

MicrocomputersChromosome MappingGenome, BacterialHelicobacterPolymorphism, GeneticReproducibility of ResultsSequence Analysis, DNASoftwareStaphylococcus aureus

Identifiers

PMID18332092
PMCPMC2336802

What OpenQuestion holds

Textmetadata
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.