ArticleeLife2017
Phenotype inference in an
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Transcriptional regulatory network differences between six industrialMetabolic engineering communications · 2026Article
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- Effects of septic shock vasopressors on the fitness of Escherichia coli.Scientific reports · 2026Article
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- Functional consequences of genetic variations in DgoR, a GntR/FadR family transcriptional repressor of D-galactonate metabolism inJournal of bacteriology · 2025Article
- Enabling next-generation anaerobic cultivation through biotechnology to advance functional microbiome research.Nature biotechnology · 2025Review
- Prediction of strain level phage-host interactions across the Escherichia genus using only genomic information.Nature microbiology · 2024Article
- Article
- Epistatic interactions between the high pathogenicity island and other iron uptake systems shape Escherichia coli extra-intestinal virulence.Nature communications · 2023Article
- Visualizing the pH in Escherichia coli Colonies via the Sensor Protein mCherryEA Allows High-Throughput Screening of Mutant Libraries.mSystems · 2022Article
- Evolutionary action of mutations reveals antimicrobial resistance genes in Escherichia coli.Nature communications · 2022Article
- Bacterial respiration during stationary phase induces intracellular damage that leads to delayed regrowth.iScience · 2022Article
- Using MALDI-TOF spectra in epidemiological surveillance for the detection of bacterial subgroups with a possible epidemic potential.BMC infectious diseases · 2021Article
- Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes.mSystems · 2021Article
- Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.PLoS computational biology · 2021Article
- Article
- Major role of iron uptake systems in the intrinsic extra-intestinal virulence of the genus Escherichia revealed by a genome-wide association study.PLoS genetics · 2020Article
- Temporal encoding of bacterial identity and traits in growth dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes.BMC bioinformatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how genetic variation contributes to phenotypic differences is a fundamental question in biology. Combining high-throughput gene function assays with mechanistic models of the impact of genetic variants is a promising alternative to genome-wide association studies. Here we have assembled a large panel of 696
Indexed as
Identifiers
What OpenQuestion holds
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.