Evidence map›Paper›PMID 23712350›Full record

ReviewNature reviews. Microbiology2013

Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms.

Tim van Opijnen, Andrew Camilli

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2013. 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
  2. Review
  3. The phenotypic landscape of the model firmicuteProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

2 authors.

Tim van OpijnenBiology Department, Boston College, 140 Commonwealth Avenue, 420 Higgins Hall, Chestnut Hill, Massachusetts 02467, USA. tim.vanopijnen@bc.edu
Andrew Camilli

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Our knowledge of gene function has increasingly lagged behind gene discovery, hindering our understanding of the genetic basis of microbial phenotypes. Recently, however, massively parallel sequencing has been combined with traditional transposon mutagenesis in techniques referred to as transposon sequencing (Tn-seq), high-throughput insertion tracking by deep sequencing (HITS), insertion sequencing (INSeq) and transposon-directed insertion site sequencing (TraDIS), making it possible to identify putative gene functions in a high-throughput manner. Here, we describe the similarities and differences of these related techniques and discuss their application to the probing of gene function and higher-order genome organization.

Indexed as

DNA Transposable ElementsBacteriaGene LibraryGenome, BacterialHigh-Throughput Nucleotide SequencingHumansMutagenesis, InsertionalDNA Transposable Elements

Identifiers

PMID23712350
PMCPMC3842022

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.