ReviewNature reviews. Microbiology2016
The design and analysis of transposon insertion sequencing experiments.
Review in Nature reviews. Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.
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.
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.
Who cites it
142 citing papers in PubMed.
- Identification of genetic determinants that promote biofilm growth under heterotrophic conditions inBiofilm · 2026Article
- Systematic mapping of bacteriophage gene essentiality with HIDEN-SEQ.Nature microbiology · 2026Article
- IL-22 promotes genesis of small intestinal secretory cells that protect against cholera in mice.Nature microbiology · 2026Article
- Profiling of genetic determinants required for fitness of community-associated methicillin-resistantMicrobiology spectrum · 2026Article
- IL-22 promotes genesis of small intestinal secretory cells that protect against cholera in mice.bioRxiv : the preprint server for biology · 2026Article
- Construction of saturated Tn-Seq libraries ofMicrobiology resource announcements · 2026Article
- ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries.PLoS computational biology · 2026Article
- Predicting FOX gene candidates for oxic nitrogen fixation using multi-omic machine learning and comparative bioinformatics.Scientific reports · 2026Article
- Bayesian analysis of longitudinal RB-TnSeq resolves the fitness seascape in fluctuating environments.bioRxiv : the preprint server for biology · 2026Article
- Article
- Phage endolysins as alternative antimicrobials: mechanisms, clinical progress, and emerging resistance frameworks.Frontiers in microbiology · 2026Review
- Probing the Role of Meso-DAP and Lysine for Growth and Pathogenicity of Pseudomonas aeruginosa.MicrobiologyOpen · 2025Article
- Selective elimination of donor bacteria enables global profiling of plasmid gene expression at early stages of conjugation.Nucleic acids research · 2025Article
- Adapting CRISPR-associated transposons for rapid and high-throughput reverse genetics.bioRxiv : the preprint server for biology · 2025Article
- Vibrio cholerae motility is associated with inter-animal transmission.Nature communications · 2025Article
- Fitness gene Characterization of Human Infant-Derived Commensal Escherichia coli LFYP5 in the Murine Gut.Current microbiology · 2025Article
- A scalable gut epithelial organoid model reveals the genome-wide colonization landscape of a human-adapted pathogen.Nature genetics · 2025Article
- The Mycobacterium tuberculosis Transposon Sequencing Database (MtbTnDB): A Large-Scale Guide to Genetic Conditional Essentiality.Molecular microbiology · 2025Article
- The identification Mycobacterium tuberculosis genes that modulate long term survival in the presence of rifampicin and streptomycin.Scientific reports · 2025Article
- Identification of essential genes by transposon insertion sequencing and genome-scale metabolic model construction inMicrobiology spectrum · 2025Article
82 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Transposon insertion sequencing (TIS) is a powerful approach that can be extensively applied to the genome-wide definition of loci that are required for bacterial growth under diverse conditions. However, experimental design choices and stochastic biological processes can heavily influence the results of TIS experiments and affect downstream statistical analysis. In this Opinion article, we discuss TIS experimental parameters and how these factors relate to the benefits and limitations of the various statistical frameworks that can be applied to the computational analysis of TIS data.
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Registered trials
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.